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 2.0
- GDS 2.0: a massive update to the library we all know and love
- AuraDS: graph data science... as a service
-
graphdatascience- our native python client
If you run into any bugs, please upgrade to the latest version first and then please file a GitHub Issue.
- blog about GDS 2.0
- Documentation
- Developer Guides
- Medium | Tomasz Bratanic