Implementations of 'RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network', WWW'22
Main dependency: pytorch
Tested under python 3.8, pytorch 1.9
RawlsGCN-Graph:
python train.py --model rawlsgcn_graph --dataname credit
RawlsGCN-Grad:
python train.py --model rawlsgcn_grad --dataname twitter
If you find this repository useful, please kindly cite the following paper:
@inproceedings{kang2022rawlsgcn,
title={Rawlsgcn: Towards rawlsian difference principle on graph convolutional network},
author={Kang, Jian and Zhu, Yan and Xia, Yinglong and Luo, Jiebo and Tong, Hanghang},
booktitle={Proceedings of the ACM Web Conference 2022},
pages={1214--1225},
year={2022}
}