RANGE is a model-agnostic framework that employs an attention-based aggregation-broadcast mechanism to significantly reduce oversquashing effects in message-passing neural networks.

It is recommended to install the mlcg package (version 0.1.0) in a clean environment by following the official installation instructions available at https://github.com/ClementiGroup/mlcg.

This package provides the core infrastructure used to train and simulate all the models defined in this repository.

Install the rangemp package inside the newly created environment:

git clone git@github.com:ClementiGroup/range-dev.git range-dev
cd range-dev
pip install .
cd ..