This Week in Neo4j – Link Prediction with Neo4j, Graphs for healthcare search, XRP graph, Querying Neo4j Clusters

This week was a busy one in the Neo4j community, with various online meetups and blog posts covering topics such as blockchain, link prediction, healthcare search, and more. Dr. Lena Wiese, Head of research group Knowledge Engineering at Georg August University Göttingen, was featured as a community member for her work on graph databases and presented a tutorial on data analytics with graph algorithms. Thomas Silkjær and Sony Green showed how to build a graph of the XRP ledger, while I started a series of posts on link prediction, including an overview of the problem, several link prediction measures, and the challenges of building a link prediction machine classifier. Other notable posts included leveraging graphs for healthcare search and explaining what happens when you query a Neo4j cluster using one of the official drivers.