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20 Results
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Oral
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Tue 2:00 |
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschläger · Niklas Kemper · Leon Hetzel · Johanna Sommer · Stephan Günnemann |
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Poster
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Tue 4:30 |
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation Alexandre Hayderi · Amin Saberi · Ellen Vitercik · Anders Wikum |
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Poster
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Thu 4:30 |
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning Dongkwan Kim · Alice Oh |
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Poster
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Tue 4:30 |
Federated Self-Explaining GNNs with Anti-shortcut Augmentations Linan Yue · Qi Liu · Weibo Gao · Ye Liu · Kai Zhang · Yichao Du · Li Wang · Fangzhou Yao |
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Poster
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Tue 4:30 |
GNNs Also Deserve Editing, and They Need It More Than Once Shaochen (Henry) Zhong · Duy Le · Zirui Liu · Zhimeng Jiang · Andrew Ye · Jiamu Zhang · Jiayi Yuan · Kaixiong Zhou · Zhaozhuo Xu · Jing Ma · Shuai Xu · Vipin Chaudhary · Xia Hu |
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Poster
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Tue 2:30 |
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschläger · Niklas Kemper · Leon Hetzel · Johanna Sommer · Stephan Günnemann |
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Poster
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Wed 2:30 |
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design Alexandre Duval · Victor Schmidt · Santiago Miret · Yoshua Bengio · Alex Hernandez-Garcia · David Rolnick |
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Poster
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Tue 2:30 |
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs MoonJeong Park · Jaeseung Heo · Dongwoo Kim |
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Poster
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Thu 2:30 |
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar Shalom · Beatrice Bevilacqua · Haggai Maron |
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Workshop
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Learning Latent Graph Structures and their Uncertainty Alessandro Manenti · Daniele Zambon · Cesare Alippi |
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Workshop
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MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation Alexandre Hayderi · Amin Saberi · Ellen Vitercik · Anders Wikum |
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Workshop
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Commute-Time-Optimised Graphs for GNNs Igor Sterner · Shiye Su · Petar Veličković |