Alternatives and similar repositories for SGNN

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

• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆52Updated 4 years ago
• AI4Science-WestlakeU / CL_DiffPhyCon
  [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
  ☆26Updated 3 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆43Updated 4 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆36Updated last year
• AI4Science-WestlakeU / t_scend
  This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…
  ☆22Updated 4 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆27Updated last year
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆66Updated last year
• gautica / meshgraphnet_pytorch
  ☆16Updated 3 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• ftbabi / TIE_ECCV2022
  ☆31Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆32Updated last year
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• AI4Science-WestlakeU / M2PDE
  [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.
  ☆17Updated 2 months ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆42Updated last month
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated last year
• luost26 / Equivariant-OrientedMP
  Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
  ☆29Updated 3 years ago
• fxia22 / gn.pytorch
  ☆51Updated 6 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆242Updated last year
• FlyingGiraffe / dhn
  Denoising Hamiltonian Network for Physical Reasoning
  ☆32Updated 3 months ago
• Eydcao / BSMS-GNN
  ☆57Updated 11 months ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆61Updated last year
• geoelements / gns
  Graph Network Simulator
  ☆173Updated 3 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆68Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆101Updated last year
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆89Updated 3 years ago
• oxcsml / constrained-diffusion
  ☆21Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆134Updated 10 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆113Updated last year
• weichiyao / ScalarEMLP
  Config files for my GitHub profile.
  ☆23Updated 3 months ago
• kaist-silab / awesome-graph-pde
  Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
  ☆96Updated 2 years ago