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275 Results
Poster
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Thu 14:00 |
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong |
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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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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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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 Andrew Davison |
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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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Wed 14:00 |
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun · Hanjun Dai · Adams Wei Yu |
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Workshop
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STab: Self-supervised Learning for Tabular Data Ehsan Hajiramezanali · Max Shen · Gabriele Scalia · Nathaniel Diamant |
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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 |