The most current release of Neo4j is 2025.07.0

Graph Data Science 2.5.2

25 October 2023
GDS 2.5.2 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 2.5.1

23 October 2023
GDS 2.5.1 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 2.5.0

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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