Graph Data Science Python Client 1.8
We are happy to announce the release of graphdatascience, the GDS Python client, version 1.8! It is published to PyPI!
Documentation: https://neo4j.com/docs/graph-data-science-client/1.8/
Highlights:
- New methods that support inference of KGE models (TransE and DistMult).
- New method
gds.graph.cypher.project
to project a graph using Cypher projection. - Added new LastFM dataset through
gds.graph.load_lastfm()
. - Expose bookmarks to synchronize queries in a Neo4j cluster.
- Dropped support for Python 3.7 which is now EOL.
- Improved endpoint returning graphs to be used in
with
clauses. The expressionwith gds.graph.project(...)[0] as G
can now be simplified towith gds.graph.project(...) AS G
. - Make
gds.graph.construct
more robust by ignoring empty dataframes inside. This makes it less error-prone to construct nodes only graphs. - Improved error messages and deprecation warnings.
The release can be pip installed with pip install graphdatascience==1.8
.