Copyright © 2020 Neo4j, Inc.

License: Creative Commons 4.0

This is the manual for Neo4j Graph Data Science library version 1.3.

The manual covers the following areas:

- Chapter 1,
*Introduction*— An introduction to the Neo4j Graph Data Science library. - Chapter 2,
*Installation*— Instructions for how to install and use the Neo4j Graph Data Science library. - Chapter 3,
*Common usage*— General usage patterns and recommendations for getting the most out of the Neo4j Graph Data Science library. - Chapter 4,
*Graph management*— A detailed guide to the graph catalog and utility procedures included in the Neo4j Graph Data Science library. - Chapter 5,
*Algorithms*— A detailed guide to each of the algorithms in their respective categories, including use-cases and examples. - Chapter 6,
*Production deployment*— This chapter explains advanced details with regards to common Neo4j components. - Appendix A,
*Procedures and functions reference*— Reference of all procedures contained in the Neo4j Graph Data Science library. - Appendix B,
*Migration from Graph Algorithms v3.5*— Additional resources - migration guide, books, etc - to help using the Neo4j Graph Data Science library.

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/.