Xuejiao Liao

Broad graph convolutional network: a novel graph convolutional network paradigm without hidden layer

Abstract Graph convolutional networks (GCNs) have shown promising performance in real-world applications involving graph-structured data. To enhance the model’s ability to integrate information from neighbor nodes, GCNs typically expand the receptive field by stacking more layers...