2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
AAAI 2023technical
Graph convolutional networks (GCNs) have been proved to be very practical to handle various graph-related tasks. It has attracted considerable research interest to study deep GCNs, due to their potential superior performance compared with shallow ones. However, simply increasing network depth will,…