The paper describes the conventional matrix methods and proposes the structural matrix for the algorithm graph representation. The flow of the structural matrix design and its application for the ...

Graphs arising in statistical problems, signal processing, large networks, combinatorial optimization, and data analysis are often dense, which causes both computational and storage bottlenecks. One ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

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