Insider Guide to Graph Data Science: First, a Brief Overview

The Graph Data Science (GDS) Library is a plugin that provides an analytics workspace and over 50 graph algorithms for Neo4j's enterprise graph database. It allows users to create their in-memory graph, reshape it, subset it, and layer on different graph algorithms before writing back results. The library has been updated with new features such as seven new algorithms, including graph embeddings, more expressive in-memory graph capabilities, performance optimizations, and improved memory management. GDS also supports role-based access control for security and allows users to implement their own algorithms using the Pregel API.

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