Neo4j Graph Data Science Python Client 1.12

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.12. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.12/

Highlights:

New features

• Add Neo4j python driver rust extension as a new optional dependency.
• Support creating GDS Sessions for self-managed Neo4j DBMS.
  • GdsSessions.get_or_create requires a new parameter cloud_location to specify where the session will be created.
• Return the id of a session and allow deletion by id or name.
• Add ttl parameter to GdsSessions.get_or_create to control if and when an unused session will be automatically deleted.
• Add concurrency control for remote write-back procedures using the concurrency parameter.
• Add progress logging for remote write-back when using GDS Sessions.
• Added a flag to GraphDataScience and AuraGraphDataScience classes to disable displaying progress bars when running procedures.

Improvements

• The database connection is now validated before a session is created.
• Retry authentication requests.

Neo4j Graph Data Science Python Client 1.12a1

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.12a1. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.12-preview/

Highlights:

New features

• Add Neo4j python driver rust extension as a new optional dependency.
• Support creating GDS Sessions for self-managed Neo4j DBMS.
  • GdsSessions.get_or_create requires a new parameter cloud_location to specify where the session will be created.
• Return the id of a session and allow deletion by id or name.
• Add ttl parameter to GdsSessions.get_or_create to control if and when an unused session will be automatically deleted.
• Add concurrency control for remote write-back procedures using the concurrency parameter.
• Add progress logging for remote write-back when using GDS Sessions.

Improvements

• The database connection is now validated before a session is created.

Neo4j Graph Data Science Python Client 1.11

We are happy to announce the release of graphdatascience, the GDS Python client, version 1.11! It is published to PyPI!

Documentation: https://neo4j.com/docs/graph-data-science-client/1.11/

Highlights:

• Fixed a bug which caused the auth token returned from the GDS Arrow Server was not correctly received.
• Fixed a bug which didn't allow the user to specify relationship_types as a string in gds.graph.relationshipProperties.stream().
• Fixed a bug in kge-predict-transe-pyg-train.ipynb which now uses the gds.graph.relationshipProperty.stream() call and can correctly handle multiple relationships between the same pair of nodes. Issue ref: #554

The release can be pip installed with pip install graphdatascience==1.11.

Neo4j Graph Data Science Python Client 1.11a4

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.11a3. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.11-preview/

Highlights:

New features

• Add the new concept of GDS Sessions, used to manage GDS computations in Aura, based on data from an AuraDB instance.
  • Add a new gds.graph.project endpoint to project graphs from AuraDB instances to GDS sessions.
  • Add a new top-level class GdsSessions to manage GDS sessions in Aura.
    • GdsSessions support get_or_create(), list(), and delete().
  • Creating a new session supports various sizes.
  • The run_cypher() method will run Cypher queries targeting the configured AuraDB instance.

Bug fixes

• Fixed a bug which caused the auth token returned from the GDS Arrow Server was not correctly received.
• Fixed a bug which didn't allow the user to specify relationship_types as a string in gds.graph.relationshipProperties.stream().
• Fixed a bug in kge-predict-transe-pyg-train.ipynb which now uses the gds.graph.relationshipProperty.stream() call and can correctly handle multiple relationships between the same pair of nodes. Issue ref: #554

Improvements

• Improved the error message if gds.graph.project.cypher produces an empty graph.

Other changes

• Updated required neo4j driver from 4.4.2 to the latest 4.4 path release (4.4.12) or later.

Neo4j Graph Data Science Python Client 1.11a3

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.11a3. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.11-preview/

Highlights:

New features

• Add the new concept of GDS Sessions, used to manage GDS computations in Aura, based on data from an AuraDB instance.
  • Add a new gds.graph.project endpoint to project graphs from AuraDB instances to GDS sessions.
  • Add a new top-level class GdsSessions to manage GDS sessions in Aura.
    • GdsSessions support get_or_create(), list(), and delete().
  • Creating a new session supports various sizes.
  • The run_cypher() method will run Cypher queries targeting the configured AuraDB instance.

Bug fixes

• Fixed a bug which caused the auth token returned from the GDS Arrow Server was not correctly received.
• Fixed a bug which didn't allow the user to specify relationship_types as a string in gds.graph.relationshipProperties.stream().
• Fixed a bug in kge-predict-transe-pyg-train.ipynb which now uses the gds.graph.relationshipProperty.stream() call and can correctly handle multiple relationships between the same pair of nodes. Issue ref: #554

Neo4j Graph Data Science Python Client 1.11a2

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.11a2. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.11-preview/

Highlights:

New features

• Add the new concept of GDS Sessions, used to manage GDS computations in Aura, based on data from an AuraDB instance.
  • Add a new gds.graph.project endpoint to project graphs from AuraDB instances to GDS sessions.
  • Add a new top-level class GdsSessions to manage GDS sessions in Aura.
    • GdsSessions support get_or_create(), list(), and delete().
  • Creating a new session supports various sizes.
  • The run_cypher() method will run Cypher queries targeting the configured AuraDB instance.

Bug fixes

• Fixed a bug which caused the auth token returned from the GDS Arrow Server was not correctly received.

Neo4j Graph Data Science Python Client 1.11a1

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.11a. It is published to PyPI.

Documentation: https://neo4j.com/docs/graph-data-science-client/1.11-preview/

Highlights:

New features

• Add the new concept of GDS Sessions, used to manage GDS computations in Aura, based on data from an AuraDB instance.
  • Add a new gds.graph.project endpoint to project graphs from AuraDB instances to GDS sessions.
    • nodePropertySchema and relationshipPropertySchema can be used to optimise remote projections.
  • Add a new top-level class GdsSessions to manage GDS sessions in Aura.
    • GdsSessions support get_or_create(), list(), and delete().
  • Creating a new session supports various sizes.
  • The run_cypher() method will run Cypher queries targeting the configured AuraDB instance.

Bug fixes

• Fixed a bug which caused the auth token returned from the GDS Arrow Server to not be correctly received.

Graph Data Science Python Client 1.10

We are happy to announce the release of graphdatascience, the GDS Python client, version 1.10! It is published to PyPI!

Documentation: https://neo4j.com/docs/graph-data-science-client/1.10/

Highlights:

• Fixed an issue where source and target IDs of relationships in heterogeneous OGBL graphs were not parsed correctly.
• Fixed an issue where configuration parameters such as aggregation were ignored by gds.graph.toUndirected.
• Fixed an issue where the database given for the GraphDataScience construction was not used for metadata retrieval, causing an exception to be raised if the default "neo4j" database was missing.
• Fixed an issue where progress bars would not always complete.
• Fixed an issue where an empty relationship type could not be streamed.

The release can be pip installed with pip install graphdatascience==1.10.

Graph Data Science Python Client 1.10a1

We are happy to announce the alpha release of graphdatascience, the GDS Python client, version 1.10a1! It is published to PyPI!

Documentation: https://neo4j.com/docs/graph-data-science-client/1.10-preview/

Highlights:

• Add the new concept of GDS Sessions, used to manage GDS computations in Aura, based on data from an AuraDB instance
• Fixed an issue where source and target IDs of relationships in heterogeneous OGBL graphs were not parsed correctly.
• Fixed an issue where configuration parameters such as aggregation were ignored by gds.graph.toUndirected.

The release can be pip installed with pip install graphdatascience==1.10a1.

Graph Data Science Python Client 1.9

We are happy to announce the release of graphdatascience, the GDS Python client, version 1.9! It is published to PyPI!

Documentation: https://neo4j.com/docs/graph-data-science-client/1.9/

Highlights:

• Fixed a bug which caused an exception to be raised when running gds.license.state targeting an AuraDS instance.
• Fixed a bug where the parameter listNodeLabels was ignored for gds.graph.[nodeProperty|nodeProperties].stream calls via Arrow.
• Fixed a bug where the parameter listNodeLabels was ignored for gds.graph.[nodeProperty|nodeProperties].stream calls via Cypher and separate_property_columns=True.
• Expose user facing custom types so that they can be directly imported from graphdatascience.
• Allow dropping graphs through gds.graph.drop by name and not only based on Graph objects.

The release can be pip installed with pip install graphdatascience==1.9.