15 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Steering Graph Neural Networks with Pinning Control
Acong Zhang, Ping Li, Guanrong Chen
In the semi-supervised setting where labeled data are largely limited, it remains to be a big challenge for message passing based graph neural networks (GNNs) to learn feature repr…
cs.LG2023★ 1 cited
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks
Acong Zhang, Jincheng Huang, Ping Li +1
Multiple recent studies show a paradox in graph convolutional networks (GCNs), that is, shallow architectures limit the capability of learning information from high-order neighbors…
cs.LG2022★ 15 cited
Revisiting the role of heterophily in graph representation learning: An edge classification perspective
Jincheng Huang, Ping Li, Rui Huang +2
Graph representation learning aim at integrating node contents with graph structure to learn nodes/graph representations. Nevertheless, it is found that many existing graph learnin…