This libray has been deprecated by the Graph Data Science (GDS) library, now available on our download center or via our github repo at https://github.com/neo4j/graph-data-science/.
This is an update to the graph algorithms library, featuring all of your favorite graph algorithms - and some new ones - plus a new, unified and simplified surface, improvements to the graph loaders, better error messaging, and additional features and workflows to support production scale deployments.
Documentation for the Graph Data Science Library is available here: https://neo4j.com/docs/graph-data-science/current/
please enter all github issues on the new repo
Amy Hodler and Mark Needham recently finished writing the O’Reilly Graph Algorithms Book. For a limited time only, you can download your free copy from neo4j.com/graph-algorithms-book
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