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
  ☆55Updated 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
  ☆27Updated 2 months ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆39Updated 3 months ago
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆46Updated 2 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆29Updated last year
• Peiyannn / MM-PDE
  [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
  ☆17Updated 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
  ☆42Updated last year
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆63Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023
  ☆73Updated last year
• tumaer / neuralsph
  Neural SPH
  ☆39Updated last month
• 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…
  ☆26Updated 2 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆70Updated 2 years ago
• ftbabi / TIE_ECCV2022
  ☆31Updated 3 years ago
• AI4Science-WestlakeU / M2PDE
  [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.
  ☆22Updated 7 months ago
• Eydcao / BSMS-GNN
  ☆67Updated last year
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆71Updated 3 months ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆25Updated last year
• FlyingGiraffe / dhn
  Denoising Hamiltonian Network for Physical Reasoning
  ☆45Updated 9 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆141Updated last year
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆102Updated 2 years ago
• fxia22 / gn.pytorch
  ☆51Updated 7 years ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆76Updated 9 months ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆53Updated 4 months ago
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆31Updated last month
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆73Updated 4 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆281Updated last year
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆66Updated last year
• kaist-silab / awesome-graph-pde
  Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
  ☆96Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago