hanjq17 / SGNNLinks
[NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
☆36Updated 2 years ago
Alternatives and similar repositories for SGNN
Users that are interested in SGNN are comparing it to the libraries listed below
Sorting:
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆36Updated last year
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 3 years ago
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆24Updated 2 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆42Updated 4 months ago
- ☆31Updated 2 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- [ICML 2020] Visual Grounding of Learned Physical Models (Dynamics Prior)☆38Updated 8 months ago
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆61Updated last year
- ☆51Updated 6 years ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆17Updated last month
- Neural SPH☆32Updated 11 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆22Updated 3 weeks ago
- ☆16Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆66Updated last year
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆26Updated last year
- This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…☆23Updated 4 months ago
- MeshGraphNets (MGN)☆64Updated last year
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Updated last year
- Denoising Hamiltonian Network for Physical Reasoning☆32Updated 3 months ago
- Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)☆29Updated 2 years ago
- ☆57Updated 10 months ago
- PyTorch implementation of Graph Nets☆8Updated 4 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆35Updated 2 weeks ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆33Updated 5 years ago
- Code, technical details and links to datasets and trained models for TopoDiff☆41Updated last year
- Official implementation of particle-based models (GNS and DPI-Net) on the Physion dataset.☆26Updated 3 years ago
- A PyTorch implementation of the “Graph Network-based Simulators” (GNS) model from DeepMind for simulating particle-based dynamics using g…☆16Updated 3 years ago
- [NeurIPS 2020] Causal Discovery in Physical Systems from Videos☆78Updated 2 years ago