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

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

The rise of graph databases is closely related to AI's demand for data processing. AI technology requires vast amounts of structured and unstructured data, which must not only be input into ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Download KgBase's Vision Paper to learn how to build the ultimate enterprise knowledge system: a federated mesh of independently maintained no-code knowledge graphs.