WGCN: Graph Convolutional Networks with Weighted Structural Features

Yunxiang Zhao, Jianzhong Qi, Qingwei Liu +1

Graph structural information such as topologies or connectivities provides valuable guidance for graph convolutional networks (GCNs) to learn nodes' representations. Existing GCN m…