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