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Sitao Luan — most-cited papers & profile · Graph Learning
← authors
·
overview
Sitao Luan
21
papers ·
244
citations ·
9
h-index
Google Scholar ↗
Semantic Scholar ↗
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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
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
2019 · 24 citations
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
2020 · 19 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
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
2022 · 5 citations
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024 · 3 citations
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
2024 · 1 citations
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
2024 · 1 citations
Rethinking Structure Learning For Graph Neural Networks
2024 · 1 citations
On Addressing the Limitations of Graph Neural Networks
2023
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
2024
Re-evaluating the Advancements of Heterophilic Graph Learning
2024
Is Graph Convolution Always Beneficial For Every Feature?
2024
Top co-authors
Xiao-Wen Chang
· 11
Doina Precup
· 8
Qincheng Lu
· 8
Chenqing Hua
· 4
Jiaqi Zhu
· 3
Lihui Chen
· 3
Mingde Zhao
· 3
Yilun Zheng
· 3
Chenqing Hua
· 2
Jiaqi Zhu
· 2
Jiaqi Zhu
· 2
Mingde Zhao
· 2
Topics
Theory & Expressivity
GNN Architectures
Temporal & Dynamic