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218 Results
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Poster
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Tue 2:30 |
Do We Need Anisotropic Graph Neural Networks? Shyam Tailor · Felix Opolka · Pietro Lio · Nicholas Lane |
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Workshop
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Fri 11:00 |
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen · Dai Quoc Nguyen · Van Nguyen · Trung Le · Quan Tran · Dinh Phung |
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Oral
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Tue 1:45 |
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" Asiri Wijesinghe · Qing Wang |
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Poster
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Tue 2:30 |
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" Asiri Wijesinghe · Qing Wang |
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Poster
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Thu 18:30 |
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Haorui Wang · Haoteng Yin · Muhan Zhang · Pan Li |
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Poster
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Tue 18:30 |
Discovering Invariant Rationales for Graph Neural Networks Ying-Xin Wu · Xiang Wang · An Zhang · Xiangnan He · Tat-Seng Chua |
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Workshop
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Sparsifying the Update Step in Graph Neural Networks Johannes Lutzeyer · Changmin Wu · Michalis Vazirgiannis |
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Workshop
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Message passing all the way up Petar Veličković |
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Workshop
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Fri 11:45 |
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar · Francesco Di Giovanni · Benjamin Chamberlain · Pietro Lio · Michael Bronstein |
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Oral
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Tue 1:00 |
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein |
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Workshop
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Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar · Francesco Di Giovanni · Benjamin Chamberlain · Pietro Lio · Michael Bronstein |
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Poster
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Mon 10:30 |
DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng · Ninghao Liu · Fan Yang · Ruixiang Tang · Mengnan Du · Xia Hu |