notebooks/example_transfer_learning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c013dbdc-796b-4bd1-ba14-5d9a77b34719",
   "metadata": {},
   "source": [
    "# Transfer learning with GNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "583e7a0b-e69b-4656-9887-71b52000e751",
   "metadata": {},
   "outputs": [],
   "source": [
    "import keras as ks\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b0d80713-0305-4107-8bc9-125023b033f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from kgcnn.literature.NMPN import make_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "26c011de-106d-4ee4-96b9-861707a832a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_config= {\n",
    "    'name': \"NMPN\",\n",
    "    'inputs': [\n",
    "        {'shape': (None, 41), 'name': \"node_attributes\", 'dtype': 'float32'},\n",
    "        {'shape': (None, 11), 'name': \"edge_attributes\", 'dtype': 'float32'},\n",
    "        {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64'},\n",
    "        {\"shape\": (), \"name\": \"total_nodes\", \"dtype\": \"int64\"},\n",
    "        {\"shape\": (), \"name\": \"total_edges\", \"dtype\": \"int64\"}\n",
    "    ],\n",
    "    \"cast_disjoint_kwargs\": {},\n",
    "    \"input_node_embedding\": {\"input_dim\": 95, \"output_dim\": 128},\n",
    "    \"input_edge_embedding\": {\"input_dim\": 95, \"output_dim\": 128},\n",
    "    'input_embedding': None,\n",
    "    'gauss_args': {\"bins\": 20, \"distance\": 4, \"offset\": 0.0, \"sigma\": 0.4},\n",
    "    'set2set_args': {'channels': 64, 'T': 3, \"pooling_method\": \"sum\", \"init_qstar\": \"0\"},\n",
    "    'pooling_args': {'pooling_method': \"scatter_sum\"},\n",
    "    'edge_mlp': {'use_bias': True, 'activation': 'swish', \"units\": [64, 64]},\n",
    "    'use_set2set': True, 'depth': 3, 'node_dim': 128,\n",
    "    \"geometric_edge\": False, \"make_distance\": False, \"expand_distance\": False,\n",
    "    'verbose': 10,\n",
    "    'output_embedding': 'graph',\n",
    "    'output_mlp': {\"use_bias\": [True, True, False], \"units\": [64, 32, 1],\n",
    "                   \"activation\": ['swish', 'swish', 'linear']}\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7870da98-f1f5-4b7d-a9b6-a6913fa449bf",
   "metadata": {},
   "source": [
    "### Pretraining on ESOL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d2452f5b-4453-44af-a42b-99b92891e12e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.data.download:Checking and possibly downloading dataset with name ESOL\n",
      "INFO:kgcnn.data.download:Dataset directory located at C:\\Users\\patri\\.kgcnn\\datasets\n",
      "INFO:kgcnn.data.download:Dataset directory found. Done.\n",
      "INFO:kgcnn.data.download:Dataset found. Done.\n",
      "INFO:kgcnn.data.ESOL:Found SDF C:\\Users\\patri\\.kgcnn\\datasets\\ESOL\\delaney-processed.sdf of pre-computed structures.\n",
      "INFO:kgcnn.data.ESOL:Read molecules from mol-file.\n",
      "INFO:kgcnn.data.ESOL: ... process molecules 0 from 1128\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Symbol found ['O', 'C', 'N', 'S', 'Cl', 'P', 'F', 'I', 'Br']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Hybridization found [rdkit.Chem.rdchem.HybridizationType.SP3, rdkit.Chem.rdchem.HybridizationType.SP, rdkit.Chem.rdchem.HybridizationType.SP2]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder TotalDegree found [2, 4, 1, 3]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder TotalNumHs found [1, 2, 0, 3, 4]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder CIPCode found [None, 'S', 'R']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder ChiralityPossible found [None, '1']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder BondType found [rdkit.Chem.rdchem.BondType.SINGLE, rdkit.Chem.rdchem.BondType.TRIPLE, rdkit.Chem.rdchem.BondType.AROMATIC, rdkit.Chem.rdchem.BondType.DOUBLE]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Stereo found [rdkit.Chem.rdchem.BondStereo.STEREONONE, rdkit.Chem.rdchem.BondStereo.STEREOE, rdkit.Chem.rdchem.BondStereo.STEREOZ]\n",
      "INFO:kgcnn.data.ESOL:Property 'edge_attributes' is an empty list for graph '934'.\n",
      "INFO:kgcnn.data.ESOL:Property 'edge_indices' is an empty list for graph '934'.\n",
      "WARNING:kgcnn.data.ESOL:Property 'total_nodes' is not set on any graph.\n",
      "WARNING:kgcnn.data.ESOL:Can not clean property '{'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}' as it was not assigned to any graph.\n",
      "WARNING:kgcnn.data.ESOL:Property 'total_edges' is not set on any graph.\n",
      "WARNING:kgcnn.data.ESOL:Can not clean property '{'shape': (), 'name': 'total_edges', 'dtype': 'int64'}' as it was not assigned to any graph.\n",
      "WARNING:kgcnn.data.ESOL:Found invalid graphs for properties. Removing graphs '[934]'.\n"
     ]
    }
   ],
   "source": [
    "%%capture\n",
    "from kgcnn.data.datasets.ESOLDataset import ESOLDataset\n",
    "dataset = ESOLDataset()\n",
    "dataset.clean(model_config[\"inputs\"])\n",
    "dataset.map_list(method=\"count_nodes_and_edges\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3ae5585c-0a94-42e2-bdc3-6904bb0e1f09",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    }
   ],
   "source": [
    "model_pre_trained = make_model(**model_config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "afc4afc3-4d9f-4325-8ccc-26029fbe1e2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                  │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_1     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_1            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],    │\n",
       "│                               │                           │                 │ mat_mul_messages_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],               │\n",
       "│                               │                           │                 │ aggregate_local_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│                               │                           │                 │ aggregate_local_edges_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│                               │                           │                 │ aggregate_local_edges_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_1        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_2            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_3            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],  │\n",
       "│                               │                           │                 │ mat_mul_messages_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_2        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_4            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_5            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],  │\n",
       "│                               │                           │                 │ mat_mul_messages_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],          │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]           │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]              │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp (\u001b[38;5;33mMLP\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_1 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                  │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],               │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_1     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],               │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_1            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate (\u001b[38;5;33mConcatenate\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],    │\n",
       "│                               │                           │                 │ mat_mul_messages_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],               │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update (\u001b[38;5;33mGRUUpdate\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],               │\n",
       "│                               │                           │                 │ aggregate_local_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│                               │                           │                 │ aggregate_local_edges_1[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│                               │                           │                 │ aggregate_local_edges_2[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_1        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_2            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_1[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_3            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_1[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_1 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],  │\n",
       "│                               │                           │                 │ mat_mul_messages_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_2        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_4            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages[\u001b[38;5;34m0\u001b[0m… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_2[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_5            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_2[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_2 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],  │\n",
       "│                               │                           │                 │ mat_mul_messages_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],          │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_3 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]           │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_2 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]              │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Compiled with jit: False\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "from sklearn.model_selection import train_test_split\n",
    "from keras.optimizers import Adam\n",
    "from kgcnn.training.scheduler import LinearLearningRateScheduler\n",
    "from kgcnn.utils.plots import plot_train_test_loss, plot_predict_true\n",
    "from kgcnn.data.transform.scaler.standard import StandardLabelScaler\n",
    "from kgcnn.metrics.metrics import ScaledMeanAbsoluteError, ScaledRootMeanSquaredError\n",
    "\n",
    "indices_train, indices_test = train_test_split(np.arange(len(dataset)), test_size=0.2)\n",
    "dataset_train, dataset_test =  dataset[indices_train], dataset[indices_test]\n",
    "\n",
    "y_train = np.expand_dims(dataset_train.get(\"graph_labels\"), axis=-1)\n",
    "x_train = dataset_train.tensor(model_config[\"inputs\"])\n",
    "y_test = np.expand_dims(dataset_test.get(\"graph_labels\"), axis=-1)\n",
    "x_test = dataset_test.tensor(model_config[\"inputs\"])\n",
    "scaler = StandardLabelScaler(with_std=True,with_mean=True, copy=True)\n",
    "scaler.fit(y_train)\n",
    "y_train = scaler.transform(y_train)\n",
    "y_test = scaler.transform(y_test)\n",
    "\n",
    "scaler_scale = scaler.get_scaling()\n",
    "mae_metric = ScaledMeanAbsoluteError(scaler_scale.shape, name=\"scaled_mean_absolute_error\")\n",
    "rms_metric = ScaledRootMeanSquaredError(scaler_scale.shape, name=\"scaled_root_mean_squared_error\")\n",
    "if scaler.scale_ is not None:\n",
    "    mae_metric.set_scale(scaler_scale)\n",
    "    rms_metric.set_scale(scaler_scale)\n",
    "metrics = [mae_metric, rms_metric]\n",
    "\n",
    "# Compile model with optimizer and loss\n",
    "model_pre_trained.compile(loss=\"mean_absolute_error\", metrics=metrics, optimizer=Adam(learning_rate=1e-03))\n",
    "\n",
    "# Build model with reasonable data.\n",
    "model_pre_trained.predict(x_test, batch_size=2, steps=2)\n",
    "model_pre_trained._compile_metrics.build(y_test, y_test)\n",
    "model_pre_trained._compile_loss.build(y_test, y_test)\n",
    "\n",
    "# Model summary\n",
    "model_pre_trained.summary()\n",
    "print(\" Compiled with jit: %s\" % model_pre_trained._jit_compile)  # noqa\n",
    "\n",
    "# Start and time training\n",
    "hist = model_pre_trained.fit(\n",
    "    x_train, y_train,\n",
    "    validation_data=(x_test, y_test),\n",
    "    batch_size=32, \n",
    "    epochs=300, \n",
    "    validation_freq=10, \n",
    "    # Change to verbose = 2 to see progress\n",
    "    verbose=0,\n",
    "    callbacks= [LinearLearningRateScheduler(learning_rate_start=0.001, learning_rate_stop=1e-05, epo_min=100, epo=300)]\n",
    ")\n",
    "plot_train_test_loss([hist]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f0f72c5-7195-4e42-aa3e-818e01d20675",
   "metadata": {},
   "source": [
    "## Transfer-learning and fine-tuning to FreeSolv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27ebf230-6525-4231-a010-6ac9c765f2e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.data.download:Checking and possibly downloading dataset with name FreeSolv\n",
      "INFO:kgcnn.data.download:Dataset directory located at C:\\Users\\patri\\.kgcnn\\datasets\n",
      "INFO:kgcnn.data.download:Dataset directory found. Done.\n",
      "INFO:kgcnn.data.download:Dataset found. Done.\n",
      "INFO:kgcnn.data.FreeSolv:Found SDF C:\\Users\\patri\\.kgcnn\\datasets\\FreeSolv\\SAMPL.sdf of pre-computed structures.\n",
      "INFO:kgcnn.data.FreeSolv:Read molecules from mol-file.\n",
      "INFO:kgcnn.data.FreeSolv: ... process molecules 0 from 642\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Symbol found ['O', 'C', 'N', 'S', 'Cl', 'P', 'F', 'I', 'Br']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Hybridization found [rdkit.Chem.rdchem.HybridizationType.SP3, rdkit.Chem.rdchem.HybridizationType.SP, rdkit.Chem.rdchem.HybridizationType.SP2]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder TotalDegree found [2, 4, 1, 3]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder TotalNumHs found [1, 2, 0, 3, 4]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder CIPCode found [None, 'S', 'R']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder ChiralityPossible found [None, '1']\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder BondType found [rdkit.Chem.rdchem.BondType.SINGLE, rdkit.Chem.rdchem.BondType.TRIPLE, rdkit.Chem.rdchem.BondType.AROMATIC, rdkit.Chem.rdchem.BondType.DOUBLE]\n",
      "INFO:kgcnn.molecule.encoder:OneHotEncoder Stereo found [rdkit.Chem.rdchem.BondStereo.STEREONONE, rdkit.Chem.rdchem.BondStereo.STEREOE, rdkit.Chem.rdchem.BondStereo.STEREOZ]\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_attributes' is an empty list for graph '61'.\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_attributes' is an empty list for graph '195'.\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_attributes' is an empty list for graph '286'.\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_indices' is an empty list for graph '61'.\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_indices' is an empty list for graph '195'.\n",
      "INFO:kgcnn.data.FreeSolv:Property 'edge_indices' is an empty list for graph '286'.\n",
      "WARNING:kgcnn.data.FreeSolv:Property 'total_nodes' is not set on any graph.\n",
      "WARNING:kgcnn.data.FreeSolv:Can not clean property '{'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}' as it was not assigned to any graph.\n",
      "WARNING:kgcnn.data.FreeSolv:Property 'total_edges' is not set on any graph.\n",
      "WARNING:kgcnn.data.FreeSolv:Can not clean property '{'shape': (), 'name': 'total_edges', 'dtype': 'int64'}' as it was not assigned to any graph.\n",
      "WARNING:kgcnn.data.FreeSolv:Found invalid graphs for properties. Removing graphs '[286 195  61]'.\n"
     ]
    }
   ],
   "source": [
    "%%capture\n",
    "from kgcnn.data.datasets.FreeSolvDataset import FreeSolvDataset\n",
    "dataset = FreeSolvDataset()\n",
    "dataset.clean(model_config[\"inputs\"])\n",
    "dataset.map_list(method=\"count_nodes_and_edges\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d6dfc4e-9eea-4918-a887-7801e0d64b2f",
   "metadata": {},
   "source": [
    "make new model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cf1e381b-9f95-42d9-9026-2d89678578de",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    }
   ],
   "source": [
    "model = make_model(**model_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e438c9e-d5a3-4d5e-8ba9-0414dc8dba03",
   "metadata": {},
   "source": [
    "transfer weights from pretrained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "420a905d-1ee0-47d2-95d9-cea8a0e161df",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.set_weights(model_pre_trained.get_weights())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "347858b4-e1de-42da-8d2b-27d6538664ef",
   "metadata": {},
   "source": [
    "set all varaibles to non trainable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "10ecb89a-e144-48bf-a05a-6d142c04bbbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "for layer in model.layers:\n",
    "    for v in layer.variables:\n",
    "        v.trainable = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2411bb56-2277-4850-90a3-ef765c35c5ac",
   "metadata": {},
   "source": [
    "except the last output MLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e4cf7a4b-26ed-45c6-a6d3-e09a91100101",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<MLP name=mlp_5, built=True>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.layers[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dd57e156-45ed-4b5b-bbc6-fb75a46f14ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "for v in model.layers[-2].variables:\n",
    "    v.trainable = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5e1094fe-cad0-43e5-8052-96bba46b2628",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_2     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_3       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_3     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_3        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_6            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_2… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_7            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_3… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],  │\n",
       "│                               │                           │                 │ mat_mul_messages_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_3       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│                               │                           │                 │ aggregate_local_edges_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_4       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_4        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_8            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_2… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_9            │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_3… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],  │\n",
       "│                               │                           │                 │ mat_mul_messages_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_4       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_5       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_5        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_10           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_2… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_11           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_3… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_5       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_1    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_4 (\u001b[38;5;33mDense\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_3 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_4 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_2     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_3       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_3     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_3        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_6            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_2… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_3[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_7            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_3… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_3[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_4 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],  │\n",
       "│                               │                           │                 │ mat_mul_messages_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_3       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_1 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│                               │                           │                 │ aggregate_local_edges_3[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_4[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update_1[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_5[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_4       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_4        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_8            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_2… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_4[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_9            │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_3… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_4[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_5 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],  │\n",
       "│                               │                           │                 │ mat_mul_messages_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]   │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_4       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_5       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_5        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_10           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_2… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_5[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_11           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_3… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_5[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_6 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_5       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_1[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_7 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_1[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_7 (\u001b[38;5;33mDense\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_1    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_1 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_5 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d816f9f-f6e2-4a16-9306-0a13d4951154",
   "metadata": {},
   "source": [
    "now train on new dataset with warm-up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e06d8dfd-1d66-4915-b752-cf21e70ee210",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import KFold\n",
    "labels = np.expand_dims(dataset.get(\"graph_labels\"), axis=-1)\n",
    "kf = KFold(n_splits=5, random_state=42, shuffle=True)\n",
    "train_test_indices = [\n",
    "    [train_index, test_index] for train_index, test_index in kf.split(X=np.zeros((len(dataset), 1)), y=labels)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b3e4eaae-7722-4e38-8668-5b628be2c995",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running training on fold: 0\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_4     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_6       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_5     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_6        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_12           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_4… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_13           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_5… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_6       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],             │\n",
       "│                               │                           │                 │ aggregate_local_edges_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_7       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_7        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_14           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_4… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_15           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_5… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_7       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_8       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_8        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_16           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_4… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_17           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_5… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_10 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_8       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_11 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_11 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_2    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_8 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_8 (\u001b[38;5;33mDense\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_6 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_7 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_4     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_6       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_5     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_6        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_12           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_4… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_6[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_13           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_5… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_6[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_8 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_6       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_2 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],             │\n",
       "│                               │                           │                 │ aggregate_local_edges_6[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_7[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update_2[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_8[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_7       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_7        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_14           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_4… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_7[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_15           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_5… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_7[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_9 (\u001b[38;5;33mConcatenate\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_14[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_15[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_7       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],       │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_8       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_8        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_16           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_4… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_8[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_17           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_5… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_8[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_10 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_17[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_8       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_2[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_11 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_2[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_11 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_2    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_2 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_8 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running training on fold: 1\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_12 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_9 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_10 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_6     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]                │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_9       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_7     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_9        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_18           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_6… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_19           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_7… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_12 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_9       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "│                               │                           │                 │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_10      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_10       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_20           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_6… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_21           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_7… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_13 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_21[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_10      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_11      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_11       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_22           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_6… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_23           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_7… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_14 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_22[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_23[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_11      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_15 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_15 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_3    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_11 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_12 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_9 (\u001b[38;5;33mMLP\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_10 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_6     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]                │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_9       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_7     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_9        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_18           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_6… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_9[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_19           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_7… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_9[\u001b[38;5;34m0\u001b[0m]… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_12 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_18[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_9       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_3 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_9[\u001b[38;5;34m0\u001b[0m… │\n",
       "│                               │                           │                 │ gru_update_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_10[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_3[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_11[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_10      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_10       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_20           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_6… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_10[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_21           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_7… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_10[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_13 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_10      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_11      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_11       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_22           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_6… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_11[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_23           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_7… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_11[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_14 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_23[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_11      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_3[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_14[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_15 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_3[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_15 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_15[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_3    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_15[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_3 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_11 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running training on fold: 2\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_12 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_13 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_8     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_12      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_9     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_12       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_24           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_8… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_25           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_9… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_25[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_12      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_13      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_13       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_26           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_8… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_27           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_9… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_17 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_26[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_27[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_13      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_14      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_14       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_28           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_8… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_29           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_9… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_18 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_28[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_29[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_14      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_4    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_14 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_14[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_16 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_12 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_13 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_8     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_12      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_9     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_12       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_24           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_8… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_12[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_25           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_9… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_12[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_16 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_25[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_12      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_4 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_12[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_13[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_4[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_14[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_13      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_13       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_26           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_8… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_13[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_27           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_9… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_13[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_17 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_26[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_27[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_13      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_17[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_14      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_14       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_28           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_8… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_14[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_29           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_9… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_14[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_18 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_28[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_29[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_14      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_4[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_18[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_19 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_4[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_19 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_4    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_4 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_14 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_14[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running training on fold: 3\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_20 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_15 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_16 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_10    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_15      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_11    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_15       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_30           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_31           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_20 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_30[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_31[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_15      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_15[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_16      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_16       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_32           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_33           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_16[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_21 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_32[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_33[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_16      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_21[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_17      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_17       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_34           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_35           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_22 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_34[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_35[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_17      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_22[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_23 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_23 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_23[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_5    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_23[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_17 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_17[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_20 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_15 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_16 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_10    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_15[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_15      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_11    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_16[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_15       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_30           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_15[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_31           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_15[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_20 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_30[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_31[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_15      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_5 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_15[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_16[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_5[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_17[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_16      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_16       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_32           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_16[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_33           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_16[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_21 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_32[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_33[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_16      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_17      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_17       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_34           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_17[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_35           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_17[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_22 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_34[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_35[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_17      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_5[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_23 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_5[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_23 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_23[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_5    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_23[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_5 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_17 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_17[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'NMPN', 'inputs': [{'shape': (None, 41), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 11), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'cast_disjoint_kwargs': {}, 'input_embedding': None, 'input_node_embedding': {'input_dim': 95, 'output_dim': 128}, 'input_edge_embedding': {'input_dim': 95, 'output_dim': 128}, 'geometric_edge': False, 'make_distance': False, 'expand_distance': False, 'gauss_args': {'bins': 20, 'distance': 4, 'offset': 0.0, 'sigma': 0.4}, 'set2set_args': {'channels': 64, 'T': 3, 'pooling_method': 'sum', 'init_qstar': '0'}, 'pooling_args': {'pooling_method': 'scatter_sum'}, 'edge_mlp': {'use_bias': True, 'activation': 'swish', 'units': [64, 64]}, 'use_set2set': True, 'depth': 3, 'node_dim': 128, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_scaling': None, 'output_mlp': {'use_bias': [True, True, False], 'units': [64, 32, 1], 'activation': ['swish', 'swish', 'linear']}}'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running training on fold: 4\n",
      "\u001b[1m2/2\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"NMPN\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"NMPN\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape              </span>┃<span style=\"font-weight: bold\">         Param # </span>┃<span style=\"font-weight: bold\"> Connected to               </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)                    │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">41</span>), (<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ node_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedIndicesToDisjoin…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),   │                 │ edge_indices[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]   │                 │ total_nodes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],         │\n",
       "│                               │                           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>),      │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ edge_attributes[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],     │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastBatchedAttributesToDisj…</span> │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>), (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>)]           │                 │ total_edges[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_24 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,376</span> │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_18 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,928</span> │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_12    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_18      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_13    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)          │       <span style=\"color: #00af00; text-decoration-color: #00af00\">1,064,960</span> │ mlp_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TrafoEdgeNetMessages</span>)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_18       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_36           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_37           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_24 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_36[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_37[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_18      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dense_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRUUpdate</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │         <span style=\"color: #00af00; text-decoration-color: #00af00\">148,224</span> │ dense_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_18[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "│                               │                           │                 │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_19      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_19       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_38           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_39           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_25 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_38[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_39[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_19      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_25[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_20      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesOutgoing</span>)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_20       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GatherNodesIngoing</span>)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_40           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_outgoing_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_41           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ trafo_edge_net_messages_1… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MatMulMessages</span>)              │                           │                 │ gather_nodes_ingoing_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_26 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mat_mul_messages_40[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n",
       "│                               │                           │                 │ mat_mul_messages_41[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_20      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],        │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">AggregateLocalEdges</span>)         │                           │                 │ concatenate_26[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_27 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">169</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_27 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,880</span> │ concatenate_27[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_6    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">49,408</span> │ cast_batched_indices_to_d… │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">PoolingSet2SetEncoder</span>)       │                           │                 │ dense_27[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)               │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_20 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MLP</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │          <span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> │ flatten_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ mlp_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]               │\n",
       "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">CastDisjointToBatchedGraphS…</span> │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to              \u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
       "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m)                    │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │ -                          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m41\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m),   │               \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),   │                 │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]   │                 │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],         │\n",
       "│                               │                           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m), (\u001b[38;5;45mNone\u001b[0m),      │               \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],     │\n",
       "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)]           │                 │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]          │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_24 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │           \u001b[38;5;34m5,376\u001b[0m │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_18 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_19 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │           \u001b[38;5;34m4,928\u001b[0m │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "│                               │                           │                 │ cast_batched_attributes_t… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_12    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_18[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_18      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ trafo_edge_net_messages_13    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)          │       \u001b[38;5;34m1,064,960\u001b[0m │ mlp_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mTrafoEdgeNetMessages\u001b[0m)        │                           │                 │                            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_18       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_36           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_18[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_37           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_18[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_24 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_36[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_37[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_18      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ dense_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gru_update_6 (\u001b[38;5;33mGRUUpdate\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │         \u001b[38;5;34m148,224\u001b[0m │ dense_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ aggregate_local_edges_18[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_19[\u001b[38;5;34m…\u001b[0m │\n",
       "│                               │                           │                 │ gru_update_6[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│                               │                           │                 │ aggregate_local_edges_20[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_19      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_19       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_38           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_19[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_39           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_19[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_25 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_38[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_39[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_19      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_25[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_outgoing_20      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesOutgoing\u001b[0m)         │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ gather_nodes_ingoing_20       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mGatherNodesIngoing\u001b[0m)          │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_40           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_outgoing_20[\u001b[38;5;34m…\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mat_mul_messages_41           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ trafo_edge_net_messages_1… │\n",
       "│ (\u001b[38;5;33mMatMulMessages\u001b[0m)              │                           │                 │ gather_nodes_ingoing_20[\u001b[38;5;34m0\u001b[0m… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_26 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ mat_mul_messages_40[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n",
       "│                               │                           │                 │ mat_mul_messages_41[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ aggregate_local_edges_20      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ gru_update_6[\u001b[38;5;34m1\u001b[0m][\u001b[38;5;34m0\u001b[0m],        │\n",
       "│ (\u001b[38;5;33mAggregateLocalEdges\u001b[0m)         │                           │                 │ concatenate_26[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],      │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ concatenate_27 (\u001b[38;5;33mConcatenate\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m169\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│                               │                           │                 │ gru_update_6[\u001b[38;5;34m2\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ dense_27 (\u001b[38;5;33mDense\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                │          \u001b[38;5;34m10,880\u001b[0m │ concatenate_27[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ pooling_set2_set_encoder_6    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │          \u001b[38;5;34m49,408\u001b[0m │ cast_batched_indices_to_d… │\n",
       "│ (\u001b[38;5;33mPoolingSet2SetEncoder\u001b[0m)       │                           │                 │ dense_27[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m],            │\n",
       "│                               │                           │                 │ cast_batched_indices_to_d… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ flatten_6 (\u001b[38;5;33mFlatten\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)               │               \u001b[38;5;34m0\u001b[0m │ pooling_set2_set_encoder_… │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ mlp_20 (\u001b[38;5;33mMLP\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │          \u001b[38;5;34m10,368\u001b[0m │ flatten_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]            │\n",
       "├───────────────────────────────┼───────────────────────────┼─────────────────┼────────────────────────────┤\n",
       "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │ mlp_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]               │\n",
       "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │                           │                 │                            │\n",
       "└───────────────────────────────┴───────────────────────────┴─────────────────┴────────────────────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,364,032</span> (9.02 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m2,364,032\u001b[0m (9.02 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">10,368</span> (40.50 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m10,368\u001b[0m (40.50 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,353,664</span> (8.98 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,353,664\u001b[0m (8.98 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold\n",
    "from kgcnn.training.scheduler import LinearWarmupLinearLearningRateScheduler\n",
    "\n",
    "history_list, test_indices_list = [], []\n",
    "model, hist, x_test, y_test, scaler, atoms_test = None, None, None, None, None, None\n",
    "splits_done = 0\n",
    "for i, (train_index, test_index) in enumerate(train_test_indices):\n",
    "    print(\"Running training on fold: %s\" % i)\n",
    "\n",
    "    # Make the model for current split using model kwargs from hyperparameter.\n",
    "    # They are always updated on top of the models default kwargs.\n",
    "    model = make_model(**model_config)\n",
    "    model.set_weights(model_pre_trained.get_weights())\n",
    "    for layer in model.layers:\n",
    "        for v in layer.variables:\n",
    "            v.trainable = False\n",
    "    for v in model.layers[-2].variables:\n",
    "        v.trainable = True\n",
    "    \n",
    "    dataset_train, dataset_test = dataset[train_index], dataset[test_index]\n",
    "    x_train, y_train = dataset_train.tensor(model_config[\"inputs\"]), labels[train_index]\n",
    "    x_test, y_test = dataset_test.tensor(model_config[\"inputs\"]), labels[test_index]\n",
    "\n",
    "    scaler = StandardLabelScaler(with_std=True,with_mean=True, copy=True)\n",
    "    scaler.fit(y_train)\n",
    "    y_train = scaler.transform(y_train)\n",
    "    y_test = scaler.transform(y_test)\n",
    "\n",
    "    # If scaler was used we add rescaled standard metrics to compile.\n",
    "    scaler_scale = scaler.get_scaling()\n",
    "    mae_metric = ScaledMeanAbsoluteError(scaler_scale.shape, name=\"scaled_mean_absolute_error\")\n",
    "    rms_metric = ScaledRootMeanSquaredError(scaler_scale.shape, name=\"scaled_root_mean_squared_error\")\n",
    "    if scaler.scale_ is not None:\n",
    "        mae_metric.set_scale(scaler_scale)\n",
    "        rms_metric.set_scale(scaler_scale)\n",
    "    metrics = [mae_metric, rms_metric]\n",
    "\n",
    "    # Compile model with optimizer and loss\n",
    "    model.compile(loss=\"mean_absolute_error\", metrics=metrics, optimizer=Adam(learning_rate=1e-03))\n",
    "\n",
    "    # Build model with reasonable data.\n",
    "    model.predict(x_test, batch_size=2, steps=2)\n",
    "    model._compile_metrics.build(y_test, y_test)\n",
    "    model._compile_loss.build(y_test, y_test)\n",
    "    print(model.summary())\n",
    "\n",
    "    # Start and time training\n",
    "    hist = model.fit(x_train, y_train,\n",
    "                     validation_data=(x_test, y_test),\n",
    "                     batch_size=32, \n",
    "                     epochs=300, \n",
    "                     validation_freq=10, \n",
    "                     # Change to verbose = 2 to see progress\n",
    "                     verbose=0,\n",
    "                     callbacks= [\n",
    "                         LinearWarmupLinearLearningRateScheduler(\n",
    "                             learning_rate_start=0.001, learning_rate_stop=1e-05, epo=300, epo_warmup=5, \n",
    "                             lr_start=0.001, steps_per_epoch=16, verbose=0)\n",
    "                     ])\n",
    "\n",
    "    # Get loss from history\n",
    "    history_list.append(hist)\n",
    "    test_indices_list.append([train_index, test_index])\n",
    "    splits_done = splits_done + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6dd3ab07-14b8-4afc-a29d-bb69d98ae996",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_train_test_loss(history_list);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1699d636-338a-4c48-a20a-fb927820a787",
   "metadata": {},
   "source": [
    "check if weights changed. All but the output mlp should stay the same"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "340ef835-62ec-4c7d-8bb0-d1f3d22493e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8047477, 0.15993604, 0.4095472, 0.14381377, 0.2285787]\n"
     ]
    }
   ],
   "source": [
    "w_original = model_pre_trained.get_weights()\n",
    "w_new = model.get_weights()\n",
    "test = [np.amax(np.abs(x-y)) for x,y in zip(w_original, w_new)]\n",
    "print(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b6831b9f-4c4b-4a5c-88bf-e60fa827808d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}