Modified Meshgraphnets with more features
☆62Jan 31, 2025Updated last year
Alternatives and similar repositories for Finite-Volume-Graph-Network
Users that are interested in Finite-Volume-Graph-Network are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A GNN-based PDE solver without pre-computed data☆41Jun 11, 2025Updated last year
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆252Dec 19, 2025Updated 6 months ago
- ☆13May 30, 2024Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆57May 30, 2023Updated 3 years ago
- ☆133Mar 28, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- ☆24Aug 14, 2025Updated 10 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Feb 21, 2025Updated last year
- The MegaFlow2D dataset package☆25Sep 21, 2023Updated 2 years ago
- ☆1,109Updated this week
- use AmgX in OpenFoam☆26Feb 7, 2023Updated 3 years ago
- A single file VOF fluid solver implementation in Taichi.☆47Sep 21, 2023Updated 2 years ago
- ☆22Nov 24, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Equivariant Mesh Attention Networks☆20Aug 30, 2022Updated 3 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Apr 10, 2024Updated 2 years ago
- ☆15Nov 18, 2024Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- Dataset of Airfoil Aerodynamic and Geometric Coefficients☆20Apr 1, 2026Updated 3 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 8 months ago
- ☆17May 1, 2022Updated 4 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 6 years ago
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆22Jul 20, 2025Updated 11 months ago
- libFastMesh - Optimized Finite Volume Computational Aeroacoustics (CAA) Code☆13Mar 28, 2024Updated 2 years ago
- ☆35Jan 10, 2025Updated last year
- ☆34May 9, 2025Updated last year
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆61Jan 24, 2024Updated 2 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- ☆25Jun 16, 2024Updated 2 years ago
- ☆81Aug 9, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated 2 years ago
- python package of compressible flow functions☆17Mar 18, 2026Updated 3 months ago
- Matlab toolbox for digital image based simulation☆14Nov 19, 2025Updated 7 months ago
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆14Jul 30, 2024Updated last year
- ☆19Apr 5, 2024Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆56Jun 10, 2024Updated 2 years ago