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Poster
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
Hong-Yu Zhou · Yunxiang Fu · Zhicheng Zhang · Bian Cheng · Yizhou Yu
Workshop
Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks
Suresh Bishnoi · Ravinder Bhattoo · Jayadeva Jayadeva · Sayan Ranu · N. M. Anoop Krishnan
Oral
Mon 1:50 Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
Poster
Tue 7:30 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
Suresh Bishnoi · Ravinder Bhattoo · Jayadeva Jayadeva · Sayan Ranu · N. M. Anoop Krishnan
Poster
Mon 2:30 Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
Poster
Tue 2:30 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
Han Lu · Zenan Li · Runzhong Wang · Qibing Ren · Xijun Li · Mingxuan Yuan · Jia Zeng · Xiaokang Yang · Junchi Yan
Poster
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Steeven Janny · Aurélien Bénéteau · Madiha Nadri · Julie Digne · Nicolas THOME · Christian Wolf
Poster
Wed 2:30 Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu · Hong-in Lee · Jeong-Hoon Lee · Jongeun Choi
Poster
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
Jiajin Li · Jianheng Tang · Lemin Kong · Huikang Liu · Jia Li · Anthony So · Jose Blanchet