Expect to hear increasing buzz around graph neural network use cases among hyperscalers in the coming year. Behind the scenes, these are already replacing existing recommendation systems and traveling ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...

Andres Ospina-Alvarez, Silvia de Juan, Josep Alós, Gotzon Basterretxea, Alexandre Alonso-Fernández, Guillermo Follana-Berná, Miquel Palmer, Ignacio A. Catalán, MPA network design based on graph theory ...