brgan

Code for "Adversarially Generating Graphs of Bounded Rank" published at DSAA'21.

Paper link: https://wls.ai/DSAA21_BRGAN

Preperation

Before running the module, make sure you install the required pip modules in requirements.txt by running pip install -r requirements.txt.

You should also download the datasets from the GraphRNN repo here.

Running

To train the model, do:

cd src
python main.py

Parameters can be set in the form -arg_name=value, and metrics are automatically logged to Weights and Biases.

Citation

@InProceedings{GeneratingGraphsBoundedRank,
author={Shiao, William and Papalexakis, Evangelos},
booktitle={2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)}, 
title={Adversarially Generating Graphs of Bounded Rank}, 
year={2021},
volume={},
number={},
pages={},
doi={}}

Acknowledgements

This paper uses code from the GraphRNN repo.