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Your World Seen Through Your Eyes with Neo4j Bloom

Editor’s Note: This presentation was given by Andreas Kolleger at GraphConnect New York in September 2018. Presentation Summary Andreas Kollegger, the product manager for Neo4j Bloom delves into the meat of what makes graph visualization so interesting. The multifaceted answer includes... read more


Graph-Powered Recommendations: Developing and Deploying Recommendations

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 – Lord of the Wiki Ring, Editing Data in Neo4j, Modeling Diffusion of Innovations

Hi graph gang, In this week’s video, Karin Wolok gives us a 10 minute introduction to graph databases. Tomaz Bratanic explores Lord of the Ring data, Chris Prenninger launches Neo4j Commander, and Nigel Small announces the new Go Driver. And finally, Nathan Smith... read more


Mind-Blowing Knowledge Graphs: 5-Minute Interview with Mayank Gupta, SVP of Data, LPL Financial

"Graphs are an incredibly powerful structure," said graphs as a data structure. I know all of us in comp-sci had graph theory in school. But, at least for me personally, the applications were difficult to see. We all learned about the traveling salesman problem, and so on. But seeing how graphs... read more


7 Reasons Why Effective Compliance Management Is Only Possible with a Graph-Based Solution

Editor’s Note: This presentation was given by Christian Tsambikakis, Manager Director at KERBEROS Compliance, Julian Schibberges, Managing Director at Bernstein Group, and Axel Morgner, Co-Founder and CEO and Structr, at GraphConnect New York in September 2018. Presentation Summary In a world... read more


Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

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