kaist-silab / awesome-graph-pdeLinks
Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
☆95Updated 3 years ago
Alternatives and similar repositories for awesome-graph-pde
Users that are interested in awesome-graph-pde are comparing it to the libraries listed below
Sorting:
- Repo to the paper "Message Passing Neural PDE Solvers"☆137Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- ☆35Updated 4 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- ☆14Updated 4 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆68Updated 6 months ago
- ICON for in-context operator learning☆57Updated 7 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- ☆52Updated 3 years ago
- Graph Neural PDEs☆335Updated 2 years ago
- Transformers for modeling physical systems☆143Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 8 months ago
- MeshGraphNets (MGN)☆67Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆47Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 7 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆28Updated 5 months ago
- PENN code for NeurIPS 2022☆42Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆71Updated last year
- ☆126Updated 2 years ago
- Multiwavelets-based operator model☆65Updated 3 years ago
- ☆35Updated 2 years ago
- ☆22Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆74Updated 5 months ago
- Neural SPH☆35Updated last year