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

The flexibility offered by a knowledge-graph-powered data catalog enables near-immediate support for new types of data sources; a knowledge graph makes it easy to extend the model to represent ...

Billions of entities vanished from Google’s Knowledge Graph in June 2025. Here’s how it signals a bold new direction in ...

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

Knowledge graphs are among the most important technologies for the 2020s. Here is how they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query ...

That’s exactly why one startup is aiming to use artificial intelligence and a “knowledge graph” to automate those mundane IT tasks, building what it calls a “system of intelligence” that can connect ...

Similarly, knowledge graph has been around for awhile, but it seems to finally be finding its killer use case: data fabric architecture.

Google allows entities to claim their Knowledge Graph panel and become the authoritative owners and editors of the results within the panel.

Google introduces a personalized entity repository, similar to a user-specific knowedge graph to predict actions and suggestions for users of Google.

His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects.

Google's Knowledge Graph algorithm currently updates every 2 to 3 weeks, affecting 60-80% of entities. Here's what SEOs need to know.