Justin F Rousseau

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

Despite the enormous success of Graph Convolutional Networks (GCNs) in modeling graph-structured data, most of the current GCNs are shallow due to the notoriously challenging problems of over-smoothening and information squashing along with conventional difficulty caused by vanishing gradients and o…