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Workshop
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Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli · Ashkan Shahbazi · XINRAN LIU · Robert Sheng · Soheil Kolouri
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Workshop
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Multivector Neurons: Better and Faster O(n)-Equivariant Clifford GNNs
Cong Liu · David Ruhe · Patrick Forré
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Workshop
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EquiTorch: A Modularized Package for Flexibly Constructing Equivariant GNNs Building upon Pytorch-Geometric
Tong Wang · Chuan Chen
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Workshop
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Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs
Michail Chatzianastasis · George Dasoulas · Michalis Vazirgiannis
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Workshop
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Task Addition in Multi-Task Learning by Geometrical Alignment
Soorin Yim · Dae-Woong Jeong · Sung Moon Ko · Sumin Lee · Hyunseung Kim · Chanhui Lee · Sehui Han
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Workshop
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Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch · Nathan Kirk · Michael Bronstein · Christiane Lemieux · Daniela Rus
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Workshop
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Mixed-Curvature Decision Trees and Random Forests
Philippe Chlenski · Quentin Chu · Itsik Pe'er
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Poster
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Wed 2:30
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Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani · Chris Schwiegelshohn
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Poster
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Tue 4:30
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StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang · Qianxiao Li
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Poster
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Thu 4:30
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Smooth Min-Max Monotonic Networks
Christian Igel
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Poster
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Tue 2:30
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GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen · Shengjie Luo · Di He · Shuxin Zheng · Tie-Yan Liu · Liwei Wang
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Poster
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Tue 4:30
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Generalization Analysis of Deep Non-linear Matrix Completion
Antoine Ledent · Rodrigo Alves
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