About Graph Data Science

Neo4j Graph Platform Graph Algorithms/Graph Data Science
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We've built a dedicated graph data science library for Neo4j that you can install via Neo4j Desktop, Docker or Sandbox for clustering, path-finding, centrality analytics, machine learning and model training.


The latest version is GDS 2.3

  • GDS 2.3: The release includes new algorithms, a new graph embedding, and other performance and integration improvements that augment the ease and speed you conduct your analytics.
  • AuraDS: graph data science... as a service

If you run into any bugs, please upgrade to the latest version first and then **please file a [GitHub Issue](https://github.com/neo4j/graph-data-science)**.
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Where can I find examples of graph data science algorithms applied to IT Networks? There is sandbox in the domain of IT Networks, but there is no application of graph data science.