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Graph Data Science Python Client 1.7a1

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@adamnsch adamnsch released this 24 May 12:22
· 1838 commits to main since this release
1.7a1
4a60ba5

We are happy to announce the first alpha release of graphdatascience, the GDS Python client, version 1.7! It is published to PyPI!

Documentation: https://neo4j.com/docs/graph-data-science-client/1.7-preview/

It contains the following changes:

New features

  • Add a new method GraphDataScience.server_version which returns the version of the server not as a str but as a ServerVersion. This allows easier inspection of the major, minor and patch version.
  • Implement context managment protocol for Graph. This allows usage as part of the with statements, where the graph is dropped at the end.
  • Added possibility to load datasets from the Open Graph Benchmark via the new methods:
    • gds.graph.ogbn.load for node property prediction datasets, and
    • gds.graph.ogbl.load for link property prediction datasets.
  • Added possibility to load NetworkX graphs via the new method gds.graph.networkx.load.

Improvements

  • When an almost correct method is called, raise an error with a message that suggests the most probable correct method name that was intended.
  • Improved IDE auto-completion support to give significantly fewer false positive suggestions.
  • Failing to log progress of a call will no longer fail the call itself, but just warn that logging was unsuccessful.
  • Underlying connections to a Neo4j DBMS is now being verified and retried automatically up to a timeout of 10 minutes.
  • The GraphDataScience.from_neo4j_driver factory method now additionally takes the same Arrow related keyword parameters as the GraphDataScience constructor.

Additionally, there is now reference documentation for the library which can be found here.

The release can be pip installed with pip install graphdatascience==1.7a1.

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