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Qincheng Lu — most-cited papers & profile · Graph Learning
← authors
·
overview
Qincheng Lu
10
papers ·
143
citations ·
6
h-index
McGill University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Revisiting Heterophily For Graph Neural Networks
2022 · 70 citations
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
2021 · 44 citations
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
2023 · 12 citations
When Do We Need Graph Neural Networks for Node Classification?
2022 · 9 citations
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024 · 3 citations
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
2024 · 1 citations
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
2024
Re-evaluating the Advancements of Heterophilic Graph Learning
2024
Top co-authors
Sitao Luan
· 8
Xiao-Wen Chang
· 8
Doina Precup
· 5
Chenqing Hua
· 3
Jiaqi Zhu
· 3
Jiaqi Zhu
· 2
Jiaqi Zhu
· 2
Minkai Xu
· 2
Shuyuan Zhang
· 2
Chenqing Hua
· 1
Chenqing Hua
· 1
Chenqing Hua
· 1
Topics
GNN Architectures
Theory & Expressivity
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