- Ensure you have python >= 3.11.6 and set up a virtual environment.
pip install virtualenv
virtualenv .env --python=python3.11.6
source .env/bin/activate
- Run the following
pip install -U polyatomic-complexes==0.0.8
Note: If you are having trouble with the environment setup please see the following demo in colab:
-
Clone the repo.
-
Ensure you have python >= 3.11.6 and set up a virtual environment.
pip install virtualenv
virtualenv .env --python=python3.11.6
source .env/bin/activate
- Install the relevant packages.
For standard/minimal usage:
pip install -Ur requirements/requirements.txt
For graph based experiments:
pip install -Ur requirements/requirements_graph.txt
For materials based experiments:
pip install -Ur requirements/requirements_mat.txt
- Get all large files from git lfs
git lfs fetch --all
git lfs pull
@misc{khorana2024polyatomiccomplexestopologicallyinformedlearning,
title={Polyatomic Complexes: A topologically-informed learning representation for atomistic systems},
author={Rahul Khorana and Marcus Noack and Jin Qian},
year={2024},
eprint={2409.15600},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2409.15600},
}