The Neo4j Graph Data Science Library Manual v1.7

This is the manual for Neo4j Graph Data Science library version 1.7.

The manual covers the following areas:

Introduction — An introduction to the Neo4j Graph Data Science library.
Installation — Instructions for how to install and use the Neo4j Graph Data Science library.
Common usage — General usage patterns and recommendations for getting the most out of the Neo4j Graph Data Science library.
Graph management — A detailed guide to the graph catalog and utility procedures included in the Neo4j Graph Data Science library.
Model catalog — A detailed guide to the model catalog and utility procedures included in the Neo4j Graph Data Science library.
Algorithms — A detailed guide to each of the algorithms in their respective categories, including use-cases and examples.
Production deployment — This chapter explains advanced details with regards to common Neo4j components.
Operations reference — Reference of all procedures contained in the Neo4j Graph Data Science library.
Migration from Graph Algorithms v3.5 — Additional resources - migration guide, books, etc - to help using the Neo4j Graph Data Science library.

The source code of the library is available at GitHub. If you have a suggestion on how we can improve the library or want to report a problem, you can create a new issue.

For further reading resources, we recommend studying the free Graph Algorithms book.

Graph Algorithms: Practical Examples in Apache Spark and Neo4j, by Mark Needham & Amy E. Hodler and published by O’Reilly Media is available now.

Download it for free at neo4j.com/graph-algorithms-book/.

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