About the Graph Algorithms/Graph Data Science category

[mark_needham]

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