The most current release of Neo4j is 2025.05.0

Graph Data Science 2.5.0

13 October 2023
GDS 2.5.0 is compatible with Neo4j 5 (≥ 5.6) & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility ...

Graph Data Science 2.4.6

15 September 2023
GDS 2.4.6 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Ne...


Graph Data Science 2.4.5

24 August 2023
GDS 2.4.5 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Bu...


Graph Data Science 2.4.4

16 August 2023
GDS 2.4.4 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Bu...


Graph Data Science 2.4.3

26 July 2023
GDS 2.4.3 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Im...


Graph Data Science 2.4.1

27 June 2023

Bug fixes

  • Fix a bug in K-Core decomposition that can return invalid values if core values are not consecutive.
  • Fix a bug when using mutateProper...

Graph Data Science 2.3.8

2 June 2023

GDS 2.3.8 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Bug fixes

  • Fixes a bug where running Weighted Node Similarity with different relationship types could lead to invalid results.
  • Fixes a bug for shortest path algorithms where yielding the `path` parameter for a graph produced by `gds.beta.graph.generate` in stream mode could result in error. The parameter is now returned as null. Affected algorithms include: Dijkstra, AStar, Yens and Delta-Stepping.
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Graph Data Science 2.3.7

26 May 2023

GDS 2.3.7 is compatible with Neo4j 5 & 4.4 versions (≥ 4.4.9). For GDS compatibility with previous releases, please use GDS Compatibility Table.

Bug fixes

  • Fixes a bug in memory estimation for HashGNN when outputDimension is not set. This affects the `gds.beta.hashgnn.mutate.estimate` and `gds.beta.hashgnn.stream.estimate` procedures.
  • Fixed a bug which allowed projecting nodes with negative ids through arrow and cypher aggregation and subsequently led to backed-up graphs not being restored.
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Graph Data Science 2.3.3

21 April 2023
New features

Neo4j Database Compatibility

  • This release is compatible with all Neo4j 5.x database version