Alternatives and similar repositories for GGNS:

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

• Eydcao / BSMS-GNN
  ☆54Updated 7 months ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆81Updated 3 years ago
• gautica / meshgraphnet_pytorch
  ☆15Updated 2 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆61Updated last year
• computational-imaging / GraphPDE
  ☆49Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆36Updated 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
  ☆39Updated last year
• 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 / beno
  [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values
  ☆26Updated 3 months ago
• NiklasFreymuth / ASMR
  Adaptive Swarm Mesh Refinement
  ☆15Updated 11 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆38Updated last month
• tumaer / neuralsph
  Neural SPH
  ☆28Updated 8 months ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆37Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆58Updated last year
• sebastkm / hybrid-fem-nn
  ☆28Updated 2 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆22Updated last week
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated 10 months ago
• sungyongs / dpgn
  Differentiable Physics-informed Graph Networks
  ☆65Updated 5 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆31Updated 9 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆132Updated 6 months ago
• 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
• yakovlev31 / graphpdes_experiments
  ☆34Updated 4 years ago
• kaist-silab / graphsplinenets
  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
  ☆16Updated 8 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆17Updated 10 months ago
• hanjq17 / SGNN
  [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
  ☆34Updated 2 years ago
• jpzxshi / learner
  ☆22Updated 9 months ago
• geoelements / gns
  Graph Network Simulator
  ☆156Updated last week
• ncsa / GeomDeepONet
  A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…
  ☆12Updated 8 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 5 months ago
• locuslab / cfd-gcn
  ☆120Updated 2 years ago