Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)

The Graph Data Science (GDS) library has been released in version 1.3, which leverages Neo4j 4.0.1 and 4.1 and includes enterprise features such as role-based access control and multi-database support. The library now offers over 50 unsupervised algorithms, including a preview of graph embeddings, which are learned through neural network models or linear algebra. Performance has been significantly improved, with production-quality algorithms being up to 85% faster than the deprecated Graph Algorithms library. The GDS framework provides a production-ready platform for data science at an enterprise scale, with features such as premium support, three tiers of algorithms, flexibility and expressivity, data science-focused features, and compatibility with the Neo4j product portfolio.

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