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This Week in Neo4j – Identifying Graph Shaped Problems, New Neo4j Online Training Courses, Small-world phenomena

Hi graph gang, In this week’s video, Lju Lazarevic teaches us how to find graph based problems. Helena Deus explains how to navigate the virus regulation pathway for COVID-19, Anders Brams builds a movie recommendation engine, and Nathan Smith explores small-world... read more



Creative Use of Network Science with Graph Commons

How might we model graphs beyond the most common use cases, and take a more creative approach to graph modeling? This post introduces the Graph Commons platform and walks through novel graph examples from the community. Full Presentation: Creative Use of Network Science with Graph... read more



Graph-Powered Recommendations: A Framework for Faster Development

Recommendation engines have become a crucial component of modern applications of all types. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time recommendations. This week, in... read more


This Week in Neo4j – Data Modeling Best Practices, JHipster and Neo4j, Circular Money Flow, Visualizing a Spring Integration graph

Hi graph gang, In this week’s video, we have a presentation by Max De Marzi where he shares graph data modeling best practices. Vladimir Plizga builds a Spring Integration Graph, JHipster now has support for Neo4j, and the CFP for NODES 2020 is now open. And finally, Vlad... read more