GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Graph analytics provide another arrow in our quiver – another tool that we can use against these vast amounts of social media and sensor-based data to uncover new insights about the ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Companies traveling the long road to becoming data-driven organizations should take a close look at why Graph Databases are taking master data management to a new level.

Apollo.io reports the best times to email VPs of marketing for effective outreach: Tuesday at 1 a.m. and Monday at 6 a.m. are ...

The chart's subhead claimed it showed the "Share of people in each country who say homosexuality can never or rarely be ...

Graph data linked with geographic data will provide new means of data discovery, developers were told at a recent conference hosted by Esri.

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.