3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 3 cited
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
Sitao Luan, Chenqing Hua, Qincheng Lu +11
Homophily principle, \ie{} nodes with the same labels or similar attributes are more likely to be connected, has been commonly believed to be the main reason for the superiority of…
cs.LG2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
Qincheng Lu, Jiaqi Zhu, Sitao Luan +1
Graph Attention Network (GAT) is one of the most popular Graph Neural Network (GNN) architecture, which employs the attention mechanism to learn edge weights and has demonstrated p…