Node classification without features using graph convolutional network

Graph convolutional network (GCN) is proposed to deal with graph-structured data, and is applied to many fields successfully, such as computer vision, natural language processing and biology. Most current graph convolutional networks and its derivative methods need node features for classification. ... View More