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An introduction to Graph-Powered Machine Learning written by our very own Dr. Alessandro Negro. This book is an extraction of 60 combined years of experience in graphs, and explains how …

GraphAware and Neo4j experts demonstrate how you can leverage knowledge graphs to help with compliance challenges.

Vlasta Kůs takes us through converting a corpus of research papers through Natural Language Processing, entity (relation) extraction and graph algorithms to highly informative connected insights organized in a knowledge …

Luanne Misquitta shows how to use the results of a UNION Cypher query.

Christophe Willemsen describes Role Based Access Control (RBAC), intra-cluster encryption and logging in Neo4j.

Dr. Miro Marchi and Michal Trnka explore 10 of the most useful graph entity states using Cypher to enrich entities with contextual information enabling powerful interactions.