GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily

Mengying Jiang, Guizhong Liu, Yuanchao Su +1

In representation learning on the graph-structured data, under heterophily (or low homophily), many popular GNNs may fail to capture long-range dependencies, which leads to their p…