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13 Results
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Oral
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Mon 1:50 |
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang |
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Poster
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Mon 2:30 |
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang |
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Poster
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Wed 2:30 |
Strategic Classification with Graph Neural Networks Itay Eilat · Ben Finkelshtein · Chaim Baskin · Nir Rosenfeld |
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Poster
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NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen · Kaiyuan Gao · Gaichao Li · Kun He |
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Poster
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Mon 7:30 |
-WL: A New Hierarchy of Expressivity for Graph Neural Networks Qing Wang · Dillon Chen · Asiri Wijesinghe · Shouheng Li · Muhammad Farhan |
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Oral
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Mon 6:20 |
Effects of Graph Convolutions in Multi-layer Networks Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath |
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Poster
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Mon 7:30 |
Effects of Graph Convolutions in Multi-layer Networks Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath |
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Poster
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Tue 2:30 |
Revisiting Robustness in Graph Machine Learning Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann |
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Workshop
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Graph-Based Deep Learning for Sea Surface Temperature Forecasts Ding Ning · Varvara Vetrova · Karin Bryan |
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Poster
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Tue 2:30 |
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov · Denis Kuznedelev · Michael Diskin · Artem Babenko · Liudmila Prokhorenkova |
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Poster
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Wed 2:30 |
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu · Yiting Chen · Chenxiao Yang · Junchi Yan |
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Poster
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Tue 2:30 |
Agent-based Graph Neural Networks Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer |