Graph Data Science Library v1.5 now available!

[alicia_frame1]

Graph Data Science Library v1.5 now available on github, our download center, and desktop

This release includes:

• ML based link prediction and node classification (train a machine learning model in Neo4j; includes appropriate graph splitting and model selection to save only the best model) with gds.alpha.ml.nodeClassification and gds.alpha.ml.linkPrediction


• Persistent & publishable models (train graphsage and persist your model through a db restart!) (Enterprise only)


• New algos: speaker listener label propagation & HITS


• New in memory graph compression format for Enterprise Edition users (up to 75% less memory!)


• Export from the in-memory graph to CSV


• Pathfinding algos (Dijkstra, Yen's, A*) reimplemented and moved to the beta tier

Plus other bug fixes and improvements.

Full details are available in the release notes, and the docs are available at https://neo4j.com/docs/graph-data-science/1.5/.

We've got a webinar scheduled for March 11th to walk through the new features and do a demo, sign up here

[fabisch_kamz]

Already love this version of GDS