PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
☆276Dec 19, 2025Updated 10 months ago
Alternatives and similar repositories for meshGraphNets_pytorch
Users that are interested in meshGraphNets_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Rewrite deepmind/meshgraphnets into pytorch☆106Feb 19, 2022Updated 4 years ago
- MeshGraphNets (MGN)☆73Nov 9, 2023Updated 2 years ago
- ☆71Aug 16, 2024Updated 2 years ago
- Modified Meshgraphnets with more features☆64Updated this week
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Graph Network Simulator☆241Mar 27, 2026Updated 7 months ago
- Reimplementation of Learning Mesh-based Simulation With Graph Networks☆44May 13, 2021Updated 5 years ago
- ☆17May 1, 2022Updated 4 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆57May 30, 2023Updated 3 years ago
- ☆54Jun 16, 2022Updated 4 years ago
- ☆27Mar 16, 2024Updated 2 years ago
- PyTorch Implementation of MeshGraphNets☆17May 3, 2023Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆152Sep 11, 2024Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆304Oct 25, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A GNN-based PDE solver without pre-computed data☆45Jun 11, 2025Updated last year
- ☆1,126Updated this week
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,411Updated this week
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆361Apr 16, 2026Updated 6 months ago
- [Communications AI & Computing 2026]An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding☆26Jun 24, 2026Updated 4 months ago
- ☆97Jul 18, 2023Updated 3 years ago
- ☆13May 30, 2024Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- ☆44Jul 22, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Reference implementation of: Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact☆30Aug 15, 2024Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆40May 15, 2026Updated 5 months ago
- Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations☆11Jan 27, 2023Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆42Nov 1, 2022Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆66Jan 24, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,223Mar 30, 2026Updated 7 months ago
- PDE Preserved Neural Network☆59May 15, 2025Updated last year
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆31Jul 25, 2024Updated 2 years ago
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- ☆314Sep 14, 2024Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆81Mar 17, 2025Updated last year