1.4.0-alpha06

Tagging for 1.4.0-alpha06

1.3.4

Release date: 1 October, 2020

GDS 1.3.4 is compatible with Neo4j 4.0 and 4.1, but not Neo4j 3.5.x. For a 3.5 compatible release, please see GDS 1.1.6.

See also 1.3.0 release notes, 1.3.1 release notes, 1.3.2 release notes, and 1.3.3 release notes

Bug fixes

• Fixed a bug where node label projections that included properties, on large graphs with high concurrency, failed to load all properties.

1.1.6

Release date: 1 October, 2020

GDS 1.1.6 is compatible with Neo4j 3.5.9 and above, but not Neo4j 4.x. For a 4.x compatible release, please see GDS 1.3.4.

Bug fixes:

• Fixed a bug in memory estimation for large, anonymous, fictitious graphs
• The readConcurrency config parameter can no longer be overwritten by the concurrency parameter when it is set explicitly in an implicit graph creation config
• Fixed a bug where node label projections including properties, in situations with large graphs and high concurrency, could lead to the loss of some properties in the in memory graph.

See also:

• 1.1.5 release notes
• 1.1.4 release notes
• 1.1.3 release notes
• 1.1.2 release notes
• 1.1.1 release notes
• 1.1.0 release notes

1.3.3

Release date: 22 September, 2020

GDS 1.3.3 is compatible with Neo4j 4.0 and 4.1, but not Neo4j 3.5.x. For a 3.5 compatible release, please see GDS 1.1.5.

See also 1.3.0 release notes, 1.3.1 release notes, and 1.3.2 release notes

Bug fixes

• Fixed a bug in memory estimation on large, anonymous fictitious graphs
• The readConcurrency configuration parameter cannot be overwritten by the concurrency parameter when it is explicitly set during graph creation
• Fixed a bug in gds.triangleCount and gds.alpha.triangles where not all triangles were being counted under certain conditions

Improvements

• Improved memory estimation for * node projections (loading all nodes regardless of label)

1.3.2

Release date: August 20, 2020

Bug fixes

• Fixed bug in RandomProjection where effectively each iteration weight was multiplied all previous iteration weights.
• Fixed bug in graph creation which could cause an AIOOB exception during graph creation.

GDS 1.1.5

Release date: August 20, 2020

Bug fixes

• Fixed bug in graph creation which could cause an AIOOB exception during graph creation.

GDS 1.3.1

Release date: 5 August, 2020

GDS 1.3.1 is compatible with Neo4j 4.0 and 4.1, but not Neo4j 3.5.x. For a 3.5 compatible release, please see GDS 1.1.3.

See also 1.3.0 release notes

Breaking changes

• Fixed result column name embeddings to embedding in GraphSAGE, to align with the other embeddings.

Bug fixes

• Fixed a regression where WCC could run more slowly with higher concurrency.
• Fixed a bug where similarity algorithms would not remove the placeholder graph if config validation fails on invalid user input.
• Parallel edges in the graph no longer impacts Local Clustering Coefficient and Triangle Count results.
• Fixed a bug in Node2Vec where many disconnected nodes would cause a StackOverflowError

Improvements

• In a multi database environment, Named graphs can only be used on the same database they have been created on.
• gds.graph.info() returns the database name the graph has been created on.
• Fixed a bug where community statistic computation could overflow for large community ids.

GDS 1.1.4 Release (compatible with Neo4j 3.5.x)

Release date: 28 July, 2020

GDS 1.1.4 is compatible with Neo4j 3.5.9 and above, but not Neo4j 4.x. For a 4.x compatible release, please see GDS 1.3.0.

Bug fixes:

• Fixed a regression where WCC could run slower with increased concurrency.
• Fixed a bug where similarity algorithms would not remove the placeholder graph if config validation fails on invalid user input.
• Fixed a bug where community statistic computation could overflow for large community ids.

See also:

• 1.1.3 release notes
• 1.1.2 release notes
• 1.1.1 release notes
• 1.1.0 release notes

1.2.3

Breaking changes

• Alpha similarity algorithms no longer accept graph name as a parameter. The algorithm never used the named graph, and now the possibility to specify one is removed.

Bug fixes

• Fixed a bug where the Jaccard Similarity function would compute incorrectly when inputs contained duplicates.
• Fixed a bug where Alpha Similarity algorithms would load a graph even though they operate on separate inputs.
• Fixed a bug where community statistic computation could overflow for large community ids.
• Parallel edges in the graph no longer affects Local Clustering Coefficient and Triangle Count results.

GDS 1.3.0

Release date: 9 July, 2020

GDS 1.3.0 is compatible with Neo4j 4.0 and 4.1, but not Neo4j 3.5.x. For a 3.5 compatible release, please see GDS 1.1.3.

New Features

• Node Embeddings: We have added three proof of concept implementations of node embeddings to our alpha tier - Node2Vec, Random Projections, and GraphSage.
• Node2Vec supports:
  • gds.alpha.node2vec.stream
  • gds.alpha.node2vec.write
• Random Projections supports:
  • gds.alpha.randomProjection.stream
  • gds.alpha.randomProjection.write
• GraphSAGE supports:
  • gds.alpha.graphSage.stream
  • gds.alpha.graphSage.write
• Betweenness Centrality is now fully supported. We have added the following procedures to the production tier:
  • gds.betweenness.stream
  • gds.betweenness.stats
  • gds.betweenness.mutate
  • gds.betweenness.write
  • gds.betweenness.stream.estimate
  • gds.betweenness.stats.estimate
  • gds.betweenness.mutate.estimate
  • gds.betweenness.write.estimate
• RBAC integration: GDS Enterprise Edition now respects role based access control definitions
• Pregel API improvements: we now support relationship weights in our Pregel API
• Streaming from the in memory graph: We now support gds.graph.streamNodeProperty, gds.graph.streamNodeProperties, gds.graph.streamRelationshipProperty and gds.graph.streamRelationshipProperties, which allow users to stream data from an in memory graph.
• nodeSimilarity now supports relationship weights.
• Graph export (gds.graph.export) has graduated to the product supported tier, and now includes the option to specify a default relationship type.
• Harmonic centrality has been added, and we now support gds.alpha.closeness.harmonic.stream and gds.alpha.closeness.harmonic.stream
• Stats mode: we’ve added support for the statistics mode (returning percentiles and distribution metrics) for the following procedures
  • Cosine Similarity
  • Euclidean Distance
  • Overlap Similarity
  • Pearson Similarity

Breaking Changes:

• The alpha procedures for betweenness centrality have been removed (gds.alpha.betweenness.stream, gds.alpha.betweenness.write, gds.alpha.betweenness.sampled.stream, gds.alpha.betweenness.sampled.write).
• gds.beta.graph.export was removed and replaced with the product ready tier (gds.graph.export).
• Alpha similarity algorithms no longer accept graph names as parameters; they do not use the named graph, so the requirement to specify one has been removed.

Improvements:

• Previously, users could export an in-memory graph to an existing (but empty) database, which would produce an inconsistent database -- this operation is no longer allowed.
• gds.alpha.randomWalk will return partial walks when the configured steps cannot be exhausted
• gds.alpha.shortestPath.astar now reads lat/lon properties from the in memory graph during algorithm execution
• Alpha similarity algorithms no longer require graph projections to be specified (this speeds up run time significantly)
• gds.nodeSimilarity.stats now returns similarityPairs to track the number of comparisons
• Improved memory estimation for Cypher projections
• Inner element projection fields are now included as part of syntax checking, as well as typo correction
• Most IllegalArgumentExceptions are now collected and returned in a single exception

Bug Fixes:

• Fixed a bug where Node2Vec returned an ArrayIndexOutOfBounds Exception
• Fixed a bug where Jaccard Similarity would compute incorrectly when inputs contained duplicated
• Fixed a bug where alpha similarity algorithms loaded a graph even though they operated on separate inputs
• Fixed a bug where implicit graph loading ignored the concurrency setting in the algorithm configuration
• Fixed a bug where generated graphs (from gds.beta.graph.generate) were not listed by graph.list
• Fixed a bug in gds.alpha.ml.ann where the computation could fail with an IndexOutOfBoundsException
• Path finding algorithms:
  • Fixed a bug affecting gds.alpha.dfs.stream and gds.alpha.bfs.stream where the result-path was in the wrong order.
  • Fixed a bug affection gds.alpha.kshortestPath, gds.alpha.shortestPaths.stream and gds.alpha.shortestPath.astar where a wrong default relationship weight lead to incorrect path calculations
  • Fixed a bug affecting path-finding algorithms, where the startNode or endNode was not loaded
  • Fixed a bug affecting gds.alpha.spanningTree.kmin and gds.alpha.spanningTree.kmax where an incorrect startNodeId was used to create the spanning tree
• Updated function descriptions to start with “RETURN” instead of “CALL”
• Added missing fields to the following:
  • nodePropertiesWritten, to the Louvain mutate procedure
  • nodePropertiesWritten to the label propagation algorithm
  • postProcessingMillis to the pageRank stats, write, and mutate procedures