Alternatives and similar repositories for SGNN

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

• AI4Science-WestlakeU / CL_DiffPhyCon
  [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
  ☆21Updated last month
• 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
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated last year
• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆39Updated 2 months ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆60Updated 10 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆25Updated 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…
  ☆23Updated 2 months ago
• gautica / meshgraphnet_pytorch
  ☆15Updated 3 years ago
• fxia22 / gn.pytorch
  ☆51Updated 6 years ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆16Updated last week
• 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 2 years ago
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models
  ☆76Updated 2 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆24Updated last year
• jlinki / GGNS
  Grounding Graph Network Simulators using Physical Sensor Observations
  ☆12Updated last year
• AI4Science-WestlakeU / wdno
  [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆30Updated last month
• YunzhuLi / VGPL-Dynamics-Prior
  [ICML 2020] Visual Grounding of Learned Physical Models (Dynamics Prior)
  ☆38Updated 7 months ago
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆65Updated last year
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆118Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆31Updated 10 months ago
• mouthful / ClofNet
  ☆22Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆32Updated 10 months ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆97Updated last year
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆78Updated 2 years ago
• ftbabi / TIE_ECCV2022
  ☆31Updated 2 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• Eydcao / BSMS-GNN
  ☆54Updated 9 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆133Updated 8 months ago
• weichiyao / ScalarEMLP
  Config files for my GitHub profile.
  ☆23Updated last month