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Doina Precup — most-cited papers & profile · Graph Learning
← authors
·
overview
Doina Precup
118
papers ·
1438
citations ·
51
h-index
Mila - Quebec Artificial Intelligence Institute · McGill University
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
Top co-authors
Sitao Luan
· 8
Xiao-Wen Chang
· 8
Qincheng Lu
· 5
Chenqing Hua
· 3
Mingde Zhao
· 3
Chenqing Hua
· 2
Jiaqi Zhu
· 2
Mingde Zhao
· 2
Minkai Xu
· 2
Shuyuan Zhang
· 2
Chenqing Hua
· 1
Chenqing Hua
· 1
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