Learning Interpretable Collective Variables for Spreading Processes on Networks

This repository contains the code and numerical examples presented in the paper "Learning interpretable collective variables for spreading processes on networks" (arXiv: 2307.03491).

To run the examples, first download the repository and install the needed Python packages via the command

pip install .

Alternatively, you can set up a virtual environment using Poetry. After installing Poetry, run the command

poetry install

in the package directory.

The scripts to run the examples can be found in the examples directory. For instance, run examples/voter_model/stochastic_block_model/main.py to reproduce Example 1 of the main text.