22 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
LEReg: Empower Graph Neural Networks with Local Energy Regularization
Xiaojun Ma, Hanyue Chen, Guojie Song
Researches on analyzing graphs with Graph Neural Networks (GNNs) have been receiving more and more attention because of the great expressive power of graphs. GNNs map the adjacency…
cs.LG2022★ 22 cited
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
Xiaojun Ma, Qin Chen, Yuanyi Ren +2
Graph Neural Networks (GNNs) show strong expressive power on graph data mining, by aggregating information from neighbors and using the integrated representation in the downstream…
cs.LG2020★ 6 cited
EPNE: Evolutionary Pattern Preserving Network Embedding
Junshan Wang, Yilun Jin, Guojie Song +1
Information networks are ubiquitous and are ideal for modeling relational data. Networks being sparse and irregular, network embedding algorithms have caught the attention of many…