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

Research from all publishers Recent developments in graph limit theory have focused on overcoming the limitations of dense graph models by extending these concepts to sparser structures.

This paper presents a non-technical exposition of graph theory (more particularly, the theory of directed graphs or digraphs), followed by a survey of the literature on applications of graph theory in ...

All the latest science news on graph theory from Phys.org. Find the latest news, advancements, and breakthroughs.

This course examines the basic concepts and techniques of graph theory. The topics to be covered are: fundamental concepts, connectivity and matchings, colourings, extremal problems, Ramsey theory, ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...