This Week in Neo4j – Learning taxonomies from user tagged data, Hierarchical community detection using Louvain, Case Law Network Graph

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have Hierarchical community detection using Louvain and a Case Law Network Graph. We… Read more →

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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →

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Why You Should Start Thinking About Your Organization as a Graph

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… Read more →

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Decyphering Your Graph Model

Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language… Read more →

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Graph Algorithms in Neo4j: Connected Data & Graph Analysis

Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are… Read more →

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This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we work out the best tennis player in the world using weighted PageRank, we… Read more →

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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate

“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… Read more →

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Graph Databases for Beginners: Graph Search Algorithm Basics

When he wasn’t busy shelving books, collecting overdue fines and shushing children (we can only presume) in the library at the House of Wisdom, Muhammad ibn Musa al-Khwarizmi was also keeping up a few other side projects: inventing algebra, popularizing… Read more →

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →

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