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

The Graph is an indexing protocol for Web3 applications that organizes blockchain data to make it easily accessible with GraphQL.

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

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

The Graph is a decentralized protocol for indexing and querying blockchain data. But it's more than just a protocol: The Graph also has an implementation, which is open source and uses GraphQL.

Microsoft Graph provides a unified programmability model that you can use to take advantage of the tremendous amount of data in Office 365.

Graphs, maps and charts from The Times — and an invitation to students to discuss them live.

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.

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 ...

TigerGraph has brought forward a free Developer Edition of its graph analytics platform for lifetime non-commercial use. But, please, what is graph analytics? As defined nicely here by Hitachi ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more.