Releases: neo4j/graph-data-science
Releases · neo4j/graph-data-science
Graph Data Science 2.13.4
neo4j-graph-data-science-2.13.4
Breaking changes
New features
Bug fixes
- Fix a bug with Node2Vec that could impact randomness generation.
Improvements
Other changes
Graph Data Science 2.16.0
Graph Data Science 2.15.0
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
- Fixed a bug where algorithms would keep tasks around on failure. Affected algorithms:
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
- Native projections will now reject relationships which point to or from nodes that were not scanned during the node projection.
This situation can happen when there are simultaneous modifications to the DBMS during projection. - In
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 betweenpropertyRatio
and the influence of properties more intuitive, also whennormalizationStrength
is non-zero.
Graph Data Science 2.14.0
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.- New write mode procedures for hashGNN:
gds.hashgnn.write
gds.hashgnn.write.estimate
Bug fixes
- Fixed a bug where
gds.graph.sample.rwr
andgds.graph.sample.cnarw
would fail on very small graphs. - Fix a bug where
gds.spanningTree
would return zero cost per relationship instead of one for unspecifiedrelationshipWeightProperty
.
2.13.2
neo4j-graph-data-science-2.13.2
Bug fixes
- GDS 2.13.1 was not compatible with Neo4j Community Edition 5.26, only with Neo4j Enterprise Edition.
This is fixed in GDS 2.13.2, and it now works on both editions of Neo4j - Fixed Maven dependency on
neo4j
which had an incorrect-SNAPSHOT
suffix.
2.13.1
neo4j-graph-data-science-2.13.1
New features
- New algorithm for the
Prize Collecting Steiner Tree
. Supported modes:gds.prizeSteinerTree.stream
gds.prizeSteinerTree.stream.estimate
gds.prizeSteinerTree.mutate
gds.prizeSteinerTree.mutate.estimate
gds.prizeSteinerTree.write
gds.prizeSteinerTree.write.estimate
gds.prizeSteinerTree.stats
gds.prizeSteinerTree.stats.estimate
- New procedures for tracking memory footprint:
gds.memory.list
gds.memory.summary
Bug fixes
- Fixed a bug where Cypher projections
RETURN gds.graph.project(...)
would leave not cleanup its progress tasksGraph aggregation
in case of failure. - Fixed an issue when
gds.systemMonitor
reportsavailableCpuCoresNotRequested
incorrectly. - Fixed CVE-2024-47535 in the
netty
dependency, affecting Windows users.
2.12.0
neo4j-graph-data-science-2.12.0
Bug fixes
- Fixed a bug to make algorithms once again respect the sudo flag, allowing then to bypass the memory guard.
Improvements
- Added support for stopping GraphSage and sampling algorithms when a termination signal is received.
2.11.0
neo4j-graph-data-science-2.10.1
neo4j-graph-data-science-2.10.1
Breaking changes
- Raise an exception if relationship types are specified in
undirectedRelationshipTypes
orinverseIndexedRelationshipTypes
, but not projected in the graph projection. This affects the following projections:- Cypher projection
- Apache Arrow projection
New features
- Added procedures RandomWalk mutate mode:
gds.randomWalk.mutate
gds.randomWalk.mutate.estimate
Bug fixes
- Modified the FastRP initialization procedure to scale both the random values and property values to match the range of the embedding dimension. This adjustment addresses the issue of discontinuous behavior of embedding values when
propertyRatio
is close to 0 or 1. - Fixed a bug where NodeSimilarity using relationship weights and JACCARD similarity metric produced incorrect similarity values.
- Fixed a bug where Graph implementations that do not override
streamRelationships
could not export relationships with a single property via arrow. - Fixed a bug where Cypher projections would fail when a string, number or boolean literal is used in the query when query literal obfuscation is turned on.
Improvements
- Added
failIfMissing
configuration option togds.graph.nodeProperties.drop
procedure. - Added progress logging for the
gds.graph.project
aggregation function.
Other changes
- The arrow triplet import action now accepts
job_id
andtask_volume
parameters.
2.9.0
New features
- Added a procedure for finding bridges in a graph
gds.bridges.stream
- Added procedures for finding articulation points in a graph
gds.articulationPoints.mutate
gds.articulationPoints.mutate.estimate
gds.articulationPoints.stats
gds.articulationPoints.stats.estimate
gds.articulationPoints.stream
gds.articulationPoints.stream.estimate
gds.articulationPoints.write
gds.articulationPoints.write.estimate
Bug fixes
- Fix a bug introduced in 2.7.0 where
gds.wcc.mutate
would ignore theconsecutiveIds
configuration parameter. - Fixed a bug in 2.8.0 which caused errors writing back relationships to Neo4j. This affected these procedures:
gds.nodeSimilarity.filtered.write