We’re excited to share a preview release of the graph data science (GDS) library -- currently available on the Neo4j download center. The docs are currently up at https://neo4j.com/docs/graph-data-science/1.0-preview/, and the code has been open sourced on our github repo. For more details on what's in the library, check out our release notes for a summary.
This library includes all of your favorite algorithms from the graph algorithms library - as well as some new ones! - plus a new, unified, simplified surface, improvements to the graph loaders, improved error messaging, and additional features and workflows to support production scale deployments.
If you’re interested in a quick start guide to the GDS, we’ve created a browser guide to walk you through the basics -- just install the plugin and enter
:play graph-data-science in neo4j browser.
If you have any feedback, please open an issue on github: https://github.com/neo4j/graph-data-science/issues