Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
Please add pyCaMOtk folder to your python path, so your system can find it, such as export PYTHONPATH=$PYTHONPATH:your_path/pycamotk
If you find this repo useful for your research, please consider to cite:
@article{gao2022physics,
title={Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems},
author={Gao, Han and Zahr, Matthew J and Wang, Jian-Xun},
journal={Computer Methods in Applied Mechanics and Engineering},
volume={390},
pages={114502},
year={2022},
publisher={Elsevier},
doi={https://doi.org/10.1016/j.cma.2021.114502}
}