Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Graph databases are the fastest growing database technology, representing a departure from the relational and NoSQL models – a departure that is inherently worthwhile. Graph Databases For Dummies, ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, high-performing type of database. Graph databases ...

This week, graph database provider TigerGraph announced version 3.2 of its key product. The release is aimed at boosting performance — especially for larger datasets — while broadening accessibility ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Graph databases are now clearly riding the upward trend ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...