Alternatives and similar repositories for meshGraphNets_pytorch:

Users that are interested in meshGraphNets_pytorch are comparing it to the libraries listed below

• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆85Updated 3 years ago
• Eydcao / BSMS-GNN
  ☆54Updated 8 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆93Updated 3 months ago
• geoelements / gns
  Graph Network Simulator
  ☆163Updated 3 weeks ago
• thuml / Transolver
  About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…
  ☆158Updated last month
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆132Updated 7 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆252Updated 2 years ago
• locuslab / cfd-gcn
  ☆123Updated 2 years ago
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 years ago
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆58Updated last month
• WillDreamer / Awesome-AI4CFD
  Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
  ☆184Updated last month
• mario-linov / graphs4cfd
  Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
  ☆34Updated last year
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆51Updated 3 years ago
• Litianyu141 / Finite-Volume-Graph-Network
  Modified Meshgraphnets with more features
  ☆42Updated 3 months ago
• vc-bonn / Spline_PINN
  ☆107Updated 3 months ago
• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆52Updated 3 years ago
• yellowshippo / penn-neurips2022
  PENN code for NeurIPS 2022
  ☆40Updated 2 years ago
• HaoZhongkai / GNOT
  ☆42Updated last year
• lizhihao2022 / AMG
  [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
  ☆10Updated 2 months ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆194Updated 4 months ago
• LouisSerrano / coral
  ☆31Updated 9 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆148Updated 11 months ago
• isl-org / DeepLagrangianFluids
  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
  ☆221Updated 8 months ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆66Updated 5 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 4 months ago
• WenHaoDing / PINO-CDE
  ☆12Updated last year
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆163Updated last year
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• dc3042 / CROM_offline_training
  ☆23Updated 2 years ago