Code and models from the paper FedEgo: Privacy-preserving Personalized Federated Graph Learning with ego-graphs.

1. Download the data in the file_path according to experiments.conf
2. Use python main.py to run the code.
3. Or you can use run.sh to run the code.

1. Note that the parameters are fixed in the main.py, please comment out the part in the for your own setting.
2. Please refer options.py for parameters setting in details.
3. If you use the script run.sh to run the code, please create new folders according to run.sh.

Please cite us if our work is useful for your research.

@article{zhang2023fedego,
  title={FedEgo: privacy-preserving personalized federated graph learning with ego-graphs},
  author={Zhang, Taolin and Mai, Chengyuan and Chang, Yaomin and Chen, Chuan and Shu, Lin and Zheng, Zibin},
  journal={ACM Transactions on Knowledge Discovery from Data},
  volume={18},
  number={2},
  pages={1--27},
  year={2023},
  publisher={ACM New York, NY}
}