The Neo4j Graph Data Science Library Manual v2.4

© 2023

License: Creative Commons 4.0

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.

  • Graph algorithms — A detailed guide to each of the algorithms in their respective categories, including use-cases and examples.

  • Machine learning — A detailed guide to the machine learning procedures included in the Neo4j Graph Data Science library.

  • Production deployment — This chapter explains advanced details with regards to common Neo4j components.

  • Python client — Documentation of the Graph Data Science client for Python users.

  • Operations reference — Reference of all procedures contained in the Neo4j Graph Data Science library.

  • Migration from Graph Data Science library Version 1.x — Additional resources - migration guide, books, etc - to help using the Neo4j Graph Data Science library.

  • Migration from Legacy to new Cypher projections — Migration guide to help migration from the Legacy Cypher projections to the new Cypher projections.

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.