yellowshippo / fluxgnn-icml2024Links
Official FluxGNN code for ICML2024
☆20Updated 5 months ago
Alternatives and similar repositories for fluxgnn-icml2024
Users that are interested in fluxgnn-icml2024 are comparing it to the libraries listed below
Sorting:
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆47Updated last month
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 2 months ago
- ☆44Updated 5 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 5 months ago
- ☆27Updated last year
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- PENN code for NeurIPS 2022☆41Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆111Updated 6 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- ☆12Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Modified Meshgraphnets with more features☆54Updated 6 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆77Updated 2 months ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆41Updated last year
- ☆97Updated 6 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- ☆11Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 9 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆44Updated last year
- ☆54Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- A GNN-based PDE solver without pre-computed data☆32Updated 2 months ago
- ☆42Updated 2 years ago
- Spectral Neural Operator☆78Updated last year
- ☆32Updated last month