The Neo4j Graph Data Science Library Manual v2.3
© 2023
License: Creative Commons 4.0
The manual covers the following areas:
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Introduction — An introduction to the Neo4j Graph Data Science library.
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Installation — Instructions for how to install and use the Neo4j Graph Data Science library.
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Common usage — General usage patterns and recommendations for getting the most out of the Neo4j Graph Data Science library.
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Graph management — A detailed guide to the graph catalog and utility procedures included in the Neo4j Graph Data Science library.
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Graph algorithms — A detailed guide to each of the algorithms in their respective categories, including use-cases and examples.
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Machine learning — A detailed guide to the machine learning procedures included in the Neo4j Graph Data Science library.
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Production deployment — This chapter explains advanced details with regards to common Neo4j components.
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Python client — Documentation of the Graph Data Science client for Python users.
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Operations reference — Reference of all procedures contained in the Neo4j Graph Data Science library.
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Migration from Graph Data Science library Version 1.x — Additional resources - migration guide, books, etc - to help using the Neo4j Graph Data Science library.
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