Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Still using an RDBMS for friend-of-a-friend queries? Big mistake. Enlist a graph database using Neo4j instead.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs.

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.

Evolutionary dynamics act on populations. Neither genes, nor cells, nor individuals evolve; only populations evolve. In small populations, random drift dominates, whereas large populations are ...

How knowledge graphs work with SEO Google’s Knowledge Graph was introduced in 2012 to provide more useful and relevant results to searches using semantic-search techniques.