5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
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…
cs.AI2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Xinliang Wu, Mengying Jiang, Guizhong Liu
Heterogeneous graph is a kind of data structure widely existing in real life. Nowadays, the research of graph neural network on heterogeneous graph has become more and more popular…