Post #283

GNN course at UPenn In addition to cs224w at Stanford and COMP 766 at McGill (both should happen next semester), there is a good-looking currently ongoing course on Graph Neural Networks at University of Pennsylvania by Alejandro Ribeiro, who worked on graph ML and graph signal processing. This is a third week and there are already videos and assignments about graph convolutional filters, empirical risk minimization, and introduction to the field.