Neo4j Live: Graph Data Science 2.0
With the new Graph Data Science Release we want to give a technical overview of the major changes and addition to the library!
- The new Python driver
- Projecting graphs (Change from gds.graph.create syntax, Cypher aggregations, Subgraphs)
- Algorithm changes (Reorganized similarity functions, Path finding, depth first search ML models)
- Infrastructure (AuraDS, Cluster support, Backup and restore GDS graphs and models)
Resources mentioned
Graph Data ScienceDeveloper tools
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