#GraphCast: Graph Data Science Library

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.

Last time, our Content & Media Associate, Allison Wu, unearthed our Graphs in Life Sciences video, which highlights real-world success stories when combining a graph database with data-heavy fields such as biotechnology or pharmaceutical industries.

Catch this week's GraphCast: Graph Data Science Library

This week, I’ve decided we just haven’t had quite enough content on graph data science – haha! (For those who attended NODES 2020 or have visited the blog in the last few weeks, my laughter will be understood.) But seriously, this 5-minute walkthrough of Neo4j’s GDS Library is the perfect crash course on the topic.

Mark Needham takes you through all of the basics of the Graph Data Science platform in Neo4j, which was built with the singular goal of simplifying your data science experience. He’ll show you how it works, what types of graph algorithms you can expect and the benefits of this robust but simplified approach to data science.

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