echowve / meshGraphNets_pytorchLinks
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
☆189Updated 2 years ago
Alternatives and similar repositories for meshGraphNets_pytorch
Users that are interested in meshGraphNets_pytorch are comparing it to the libraries listed below
Sorting:
- Rewrite deepmind/meshgraphnets into pytorch☆88Updated 3 years ago
- MeshGraphNets (MGN)☆64Updated last year
- Graph Network Simulator☆169Updated 2 months ago
- ☆57Updated 10 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆134Updated 9 months ago
- ☆96Updated 4 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆181Updated 2 weeks ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆191Updated 3 weeks ago
- Code repo for Fluid Graph Network☆25Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆263Updated 3 weeks ago
- Modified Meshgraphnets with more features☆49Updated 4 months ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆40Updated last year
- ☆125Updated 2 years ago
- [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries☆12Updated 4 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- PENN code for NeurIPS 2022☆41Updated 2 years ago
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 3 years ago
- ☆59Updated 3 months ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆185Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆203Updated 6 months ago
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆54Updated last year
- ☆109Updated 4 months ago
- Physics-informed neural network for solving fluid dynamics problems☆229Updated 4 years ago
- PINN for obtaining WSS from sparse data☆64Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- ☆43Updated last year
- A multiphase multiphysics dataset and benchmarks for scientific machine learning☆33Updated last year
- ☆32Updated 11 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆55Updated 3 months ago