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360 Results
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Workshop
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Revisiting Robustness in Graph Machine Learning Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann |
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Workshop
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Learning Feynman Diagrams using Graph Neural Networks Alexander Norcliffe · Harrison Mitchell · Pietro Lió |
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Poster
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Tue 14:00 |
Asymptotics of Regularized Network Embeddings Andrew Davison |
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Workshop
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Memory-Efficient Reinforcement Learning with Priority based on Surprise and On-policyness Ryosuke Unno · Yoshimasa Tsuruoka |
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Poster
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Decoupled Self-supervised Learning for Graphs Teng Xiao · Zhengyu Chen · Zhimeng Guo · Zeyang Zhuang · Suhang Wang |
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Poster
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Tue 9:00 |
Equivariant Networks for Crystal Structures Oumar Kaba · Siamak Ravanbakhsh |
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Poster
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Thu 9:00 |
MAgNet: Mesh Agnostic Neural PDE Solver Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline |
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Panel
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Tue 10:15 |
Panel 1B-3: Shield Decentralization for… & DHRL: A Graph-Based… Seungjae Lee · Daniel Melcer |
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Poster
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Wed 14:00 |
Universally Expressive Communication in Multi-Agent Reinforcement Learning Matthew Morris · Thomas D Barrett · Arnu Pretorius |
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Workshop
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Dissimilar Nodes Improve Graph Active Learning Zhicheng Ren · Yifu Yuan · Yuxin Wu · Xiaxuan Gao · Yewen Wang · Yizhou Sun |
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Poster
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Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan · Xiao Wang · Yanhu Mo · Chuan Shi · Jian Tang |
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Poster
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Thu 9:00 |
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum |