Pinned Loading

1. MFGNN_PDE MFGNN_PDE Public

   This repository implements multifidelity graph neural networks (MFGNN) to efficiently model PDEs in mesh-based simulations. Includes MFGNN_H, MFGNN_CL, and SFGNN models, plus data generation script…

   Python 7

2. modulus modulus Public

   Forked from NVIDIA/physicsnemo

   Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

   Python 1 2

3. MFGNN_Power MFGNN_Power Public

   This repository contains the implementation and data for our study on multi-fidelity graph neural networks (MF-GNN) for efficient power flow analysis under demand and renewable generation uncertainty.

   Python 10

4. MF-PIGAN MF-PIGAN Public

   This repository hosts the code for the MF-PIGANs framework developed in our paper "Multi-fidelity Physics-informed Generative Adversarial Network for Solving Partial Differential Equations."

   Python 4

5. backward_DOE backward_DOE Public

   This repository contains the implementation of the algorithms and methodologies presented in the paper "Improving Accuracy and Computational Efficiency of Optimal Design of Experiments via Greedy B…

   MATLAB 5 1

6. MFGNN_Flood MFGNN_Flood Public

   Reference implementation of a two-stage, multi-fidelity GNN (LF→HF) for flood hazard mapping. Trains on coarse simulations, upsamples to fine meshes via MeshGraphNet, and delivers strong accuracy w…

   Python