jjdcorke / MeshGraphNetsLinks
PHYS 449 course project. In this repository, we attempt replication of results of the Learning Mesh Based Simulations with Graph Networks. Specifically the airfoil and flag experiments.
☆11Updated 3 years ago
Alternatives and similar repositories for MeshGraphNets
Users that are interested in MeshGraphNets are comparing it to the libraries listed below
Sorting:
- MeshGraphNets (MGN)☆68Updated last year
 - JAX-DIPS is a differentiable interfacial PDE solver.☆46Updated last year
 - Learning Algebraic Multigrid Using Graph Neural Networks☆25Updated 5 years ago
 - ☆127Updated 2 years ago
 - Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆44Updated last year
 - Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Updated 3 years ago
 - Differentiable Physics-informed Graph Networks☆68Updated 5 years ago
 - Rewrite deepmind/meshgraphnets into pytorch☆95Updated 3 years ago
 - Official implementation of Diffusion Graph Networks (DGNs)☆70Updated 7 months ago
 - LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆67Updated 10 months ago
 - PENN code for NeurIPS 2022☆42Updated 2 years ago
 - ☆35Updated 4 years ago
 - One-Shot Transfer Learning of PINNs☆11Updated 2 years ago
 - Repo to the paper "Message Passing Neural PDE Solvers"☆139Updated last year
 - Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆105Updated last year
 - Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 4 years ago
 - ☆23Updated 4 months ago
 - This repository contains code, which was used to generate large-scale results in the HINTS paper.☆33Updated last year
 - Subspace Graph Physics☆14Updated last year
 - Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆166Updated 3 years ago
 - Playing around with Phyiscs-Informed Neural Networks☆94Updated 3 months ago
 - PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
 - Turbulent flow network source code☆70Updated 7 months ago
 - A multiphase multiphysics dataset and benchmarks for scientific machine learning☆36Updated last year
 - [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆83Updated 5 months ago
 - Transformers for modeling physical systems☆145Updated 2 years ago
 - PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆204Updated this week
 - Resources for UPT tutorials☆14Updated 6 months ago
 - To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆50Updated 2 years ago
 - ☆59Updated last year