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163 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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A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning Austin Atsango · Nathaniel Diamant · Ziqing Lu · Tommaso Biancalani · Gabriele Scalia · Kangway Chuang |
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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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Learning Feynman Diagrams using Graph Neural Networks Alexander Norcliffe · Harrison Mitchell · Pietro Lió |
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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 |
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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 14:00 |
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu · Zhiqing Sun · Yiming Yang |
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Poster
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Thu 14:00 |
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello · Bryon Aragam · Pradeep Ravikumar |
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Poster
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Tue 9:00 |
Graph Few-shot Learning with Task-specific Structures Song Wang · Chen Chen · Jundong Li |
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Poster
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Tue 9:00 |
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification Yiyue Qian · Chunhui Zhang · Yiming Zhang · Qianlong Wen · Yanfang Ye · Chuxu Zhang |