Update dependency neo4j/graph-data-science to v2.15.0 #339
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This PR contains the following updates:
2.13.2
->2.15.0
Release Notes
neo4j/graph-data-science (neo4j/graph-data-science)
v2.15.0
: Graph Data Science 2.15.0Compare Source
New features
gds.articulationPoints.stream
can now return for each articulation point a mapresultingComponents
tracking the number of components, as well as their minimum/maximum size that are formed following the articulation point's removal.Bug fixes
gds.beta.pipeline.linkPrediction.train
- Could not start another training on the same graph afterwards.gds.dag.longestPath
gds.randomWalk
gds.shortestPath.yens
gds.allShortestPaths.delta
Improvements
This situation can happen when there are simultaneous modifications to the DBMS during projection.
gds.fastRP.{mutate,write,stream}
, the initial random node vectors use a degree-scaling which is uniform over the entire vector, whereas previously a different scaling was applied to the property-aware part of the vector.This makes the relationship between
propertyRatio
and the influence of properties more intuitive, also whennormalizationStrength
is non-zero.v2.14.0
: Graph Data Science 2.14.0Compare Source
neo4j-graph-data-science-2.14.0
New features
gds.bridges.stream
can now return for each bridge a list with the sizes of the resulting components after the bridge is removed by theremainingSizes
yields parameter.gds.hashgnn.write
gds.hashgnn.write.estimate
Bug fixes
gds.graph.sample.rwr
andgds.graph.sample.cnarw
would fail on very small graphs.gds.spanningTree
would return zero cost per relationship instead of one for unspecifiedrelationshipWeightProperty
.Configuration
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