12 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.SI2023★ 12 cited
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
Sitao Luan, Chenqing Hua, Minkai Xu +6
Homophily principle, i.e., nodes with the same labels are more likely to be connected, has been believed to be the main reason for the performance superiority of Graph Neural Netwo…
cs.AI2022★ 6 cited
Graph Neural Networks Intersect Probabilistic Graphical Models: A Survey
Chenqing Hua, Sitao Luan, Qian Zhang +1
Graphs are a powerful data structure to represent relational data and are widely used to describe complex real-world data structures. Probabilistic Graphical Models (PGMs) have bee…