Update dependency neo4j/graph-data-science to v2.15.0 #339
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This PR contains the following updates:
2.13.2->2.15.0Release Notes
neo4j/graph-data-science (neo4j/graph-data-science)
v2.15.0: Graph Data Science 2.15.0Compare Source
New features
gds.articulationPoints.streamcan now return for each articulation point a mapresultingComponentstracking 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.longestPathgds.randomWalkgds.shortestPath.yensgds.allShortestPaths.deltaImprovements
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
propertyRatioand the influence of properties more intuitive, also whennormalizationStrengthis non-zero.v2.14.0: Graph Data Science 2.14.0Compare Source
neo4j-graph-data-science-2.14.0New features
gds.bridges.streamcan now return for each bridge a list with the sizes of the resulting components after the bridge is removed by theremainingSizesyields parameter.gds.hashgnn.writegds.hashgnn.write.estimateBug fixes
gds.graph.sample.rwrandgds.graph.sample.cnarwwould fail on very small graphs.gds.spanningTreewould return zero cost per relationship instead of one for unspecifiedrelationshipWeightProperty.Configuration
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