Post #544

Graph Neural Networks as Neural Diffusion PDEs A new post by Michael Bronstein about the connection of GNNs and differential equations that govern diffusion on graphs. This gives new mathematical framework for studying different architectures on graphs as well as a blueprint for developing new ones.