Paper accepted to IEEE TWC in 2025, and conference version published in IEEE ICASSP 2022

Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, and Santiago Segarra, " Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks," IEEE Transactions on Wireless Communications, 2025, accepted for publication, DOI: 10.1109/TWC.2025.3606741, Preprint arXiv:2509.05447

Z. Zhao, A. Swami and S. Segarra, "Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 5308-5312, doi: 10.1109/ICASSP43922.2022.9747437. Preprint arXiv:2203.14339

@INPROCEEDINGS{zhao2022distributed,
  author={Zhao, Zhongyuan and Swami, Ananthram and Segarra, Santiago},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks}, 
  year={2022},
  month={May},
  pages={5308-5312},
  location={Singapore, Singapore},
  doi={10.1109/ICASSP43922.2022.9747437}
}

Python3.10

pip3 install -r requirements.txt

Also install poppler for inspecting fonts in PDF

apt-get update
apt-get install -y texlive-latex-base texlive-fonts-recommended texlive-fonts-extra dvipng ghostscript cm-super
sudo apt install -y poppler-utils

The training and test data sets as listed in Table I of the journal paper are

data/BA_Graph_Uniform_mixN_mixp_train0/ # ER training set 5970 graphs 
data/BA_Graph_Uniform_mixN_mixp_train0/ # BA training set 5970 graphs
data/ER_Graph_Uniform_GEN21_test2/ # ER test set with 500 graphs
data/BA_Graph_Uniform_GEN24_test2/ # BA test set with 860 graphs