Graph Data Science 2.8.0

Bug fixes

• Fixed a bug which caused writing back relationships to Neo4j potentially resulting in deadlocks.
  This affected these procedures:
  • gds.knn.write
  • gds.knn.filtered.write
  • gds.nodeSimilarity.write
  • gds.nodeSimilarity.filtered.write
  • gds.steinerTree.write
  • gds.spanningTree.write
  • gds.allShortestPaths.delta.write
  • gds.shortestPath.dijkstra.write
  • gds.shortestPath.astar.write
  • gds.shortestPath.yens.write
  • gds.bellmanFord.write
  • gds.graph.relationships.write
  • gds.graph.relationshipProperties.write

Other changes

• Reverted parallel relationship write-back introduced in 2.7, due to deadlocks.

2.7.0

neo4j-graph-data-science-2.7.0

Breaking changes

• Removed support for Neo4j DBMS v4.

New features

• A new parameter targetNodes has been introduced to gds.shortestPath.dijkstra procedures that allows specifying multiple targets rather than a single target.
• GDS Arrow to database import now also supports creating database with block storage engine. This requires at least Neo4j 5.18.
• gds.graph.export now supports setting a database format using the dbFormat key. See https://neo4j.com/docs/operations-manual/current/database-internals/store-formats/ for supported formats (block requires at lest Neo4j 5.18).
• Added a dedicated Arrow export command to extract node labels from an in-memory graph.
• Arrow graph export commands support exporting node identifiers mapped to a consecutive id space, i.e. [0..nodeCount).
• Add support for DBMS V5.21.0

Bug fixes

• Fixed a bug where the batch size configured in arrow stream messages would be ignored
• Fixed a bug where graphs could be projected with empty name when using Cypher projections v2.

Improvements

• Writing relationships can now be done in parallel, the concurrency can be controlled by the writeConcurrency parameter.
• Progress logging for Closeness centrality is more detailed.

Other changes

• The record_format field in the GDS Arrow Create Database action is deprecated for removal, use db_format instead.

Graph Data Science 2.6.8

neo4j-graph-data-science-2.6.8

Bug fixes

• Fixed a bug in the longest path algorithm, where it was failing with zero weights for some of the cases.
• Fixed an issue when Louvain would fail on very big graphs.

Graph Data Science 2.6.7

This release brings compatibility with Neo4j 5.20.0.

Graph Data Science 2.6.6

neo4j-graph-data-science-2.6.6

Bug fixes

• Fixed an issue when valid procedure calls wouldn't run when using Cypher Parallel Runtime.
• Fixed an issue where gds.listProgress() would not contain entries for running procedures.

2.6.5

New features

• Added compatibility with Neo4j 5.19.0.

2.6.4

Bug fixes

• Fixed a bug in the Arrow server token cache where authentication could fail sporadically with correct login credentials.
• Fixed a bug in the Arrow server where a wrongly configured encryption key could cause the database server to fail to start.
• Adapted an internal buffer resize strategy to avoid potential overflows when creating graphs with very high degree nodes (e.g. in Louvain).

2.6.3

Bug fixes

• Fixed a bug where gds.graph.project would fail when a default value for an array property was used across multiple labels.
• Fixed a bug where GraphSage memory estimations would fail.
• Fixed a bug where gds.graph.project would sometimes not read all data when the database was using the block storage format.

2.6.2

New features

• Added compatibility with Neo4j 5.18.0.

Bug fixes

• Fixed a bug where running GDS queries with the Cypher Parallel runtime would not work as expected.

2.6.1

New features

• Added compatibility with Neo4j DBMS 5.17.

Bug fixes

• Fixed a bug where native projection would fail for projections with labels on Neo4j 5.14 and later.
• Fixed a bug where gds.graph.project.remote would report progress backwards.