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Workshop
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Fri 9:30
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Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals
Sina Akbarian · Qayam Jetha · Jouhyun Jeon
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Poster
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Tue 9:00
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Equivariant Networks for Crystal Structures
Oumar Kaba · Siamak Ravanbakhsh
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Workshop
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On the Ambiguity in Classification
Arif Dönmez
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Workshop
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Towards architectural optimization of equivariant neural networks over subgroups
Kaitlin Maile · Dennis Wilson · Patrick Forré
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Workshop
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ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
Matan Halfon · Dina Schneidman · Tomer Cohen · raanan fattal
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Workshop
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Why are deep learning-based models of geophysical turbulence long-term unstable?
Ashesh Chattopadhyay · Pedram Hassanzadeh
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Workshop
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3D single-cell shape analysis of cancer cells using geometric deep learning
Matt De Vries · Lucas Dent · Nathan Curry · Leo Rowe-Brown · Adam Tyson · Chris Dunsby · Chris Bakal
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Workshop
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Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao · Yunan Luo · Mia Liu · Pan Li
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Poster
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Wed 9:00
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Graph Scattering beyond Wavelet Shackles
Christian Koke · Gitta Kutyniok
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Poster
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Thu 9:00
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
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Poster
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Tue 14:00
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Pyramid Attention For Source Code Summarization
Lei Chai · Ming LI
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Affinity Workshop
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Protein Structure Ranking with Atom-level Geometric Representation Learning
Tian Xia · Sarp Aykent
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