Message Passing on the Edge: Towards Scalable and Expressive GNNs

Pablo Barceló, Fabian Jogl, Alexander Kozachinskiy +3

Graph neural networks (GNNs) are widely used in graph learning and most architectures propagate information by passing messages between vertices. In this work, we shift our attenti…