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Author: RobRossmiller-TG

tests/test/baseline/algos/pagerank.py

@@ -0,0 +1,26 @@
+import networkx as nx
+import pandas as pd
+from pyTigerGraph.datasets import Datasets
+
+from .base import Baseline
+from .common import create_baseline
+
+
+def run_pagerank(g: nx.Graph, metric):
+    res = metric(g)
+
+    out = []
+    for k, v in res.items():
+        out.append({"Vertex_ID": k, "score": v})
+
+    out = [{"@@top_scores_heap": out}]
+    return out
+
+
+class PagerankBaseline(Baseline):
+    def __init__(self, data_path_root, baseline_path_root):
+        self.data_path_root = data_path_root
+        self.baseline_path_root = baseline_path_root
+
+    def run(self):
+        return