Equivariant Graph Neural Operator for Modeling 3D Dynamics

Equivariant Graph Neural Operator for Modeling 3D Dynamics

19 January 2024

Jiaqi Han

Arvind Ramanathan

Kamyar Azizzadenesheli

Papers citing "Equivariant Graph Neural Operator for Modeling 3D Dynamics"

15 / 15 papers shown

Title
Learning (Approximately) Equivariant Networks via Constrained Optimization Andrei Manolache Luiz F.O. Chamon Mathias Niepert 14 0 0 19 May 2025
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks Fabian L. Thiemann Thiago Reschützegger Massimiliano Esposito Tseden Taddese Juan D. Olarte-Plata Fausto Martelli AI4CE 61 0 0 31 Mar 2025
Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond Dai Shi Kuan Yan Lequan Lin Yue Zeng Ting Zhang D. Matsypura Mark C. Gillies Ling Zhu Junbin Gao 57 1 0 10 Feb 2025
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics Fang Sun Zijie Huang Haixin Wang Yadi Cao Xiao Luo Wei Wang Yizhou Sun AI4CE 52 0 0 03 Nov 2024
Bridging Geometric States via Geometric Diffusion Bridge Shengjie Luo Yixian Xu Di He Shuxin Zheng Tie-Yan Liu Liwei Wang 49 0 0 31 Oct 2024
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 55 2 0 23 Oct 2024
Geometric Trajectory Diffusion Models Jiaqi Han Minkai Xu Aaron Lou Haotian Ye Stefano Ermon DiffM 56 4 0 16 Oct 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen Anyi Li Ning Lin Yuxiang Ren Zihe Wang Wenbing Huang 51 2 0 15 Oct 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang Wanjia Zhao Jingdong Gao Ziniu Hu Xiao Luo Yadi Cao Yuanzhou Chen Yizhou Sun Wei Wang PINN AI4CE 32 1 0 08 Oct 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Julius Berner Peter Yichen Chen Aniket Bera AI4CE 68 2 0 04 Jul 2024
Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance Hao Wu Fan Xu Yifan Duan Ziwei Niu Weiyan Wang Gaofeng Lu Kun Wang Keli Zhang Yang Wang DiffM AI4CE 47 8 0 18 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 53 8 0 19 Feb 2024
Geometric Latent Diffusion Models for 3D Molecule Generation Minkai Xu Alexander Powers R. Dror Stefano Ermon J. Leskovec DiffM AI4CE 62 139 0 02 May 2023
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 271 2,315 0 18 Oct 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016