Jianshan He

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

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 …