Code for paper FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization https://github.com/Landon5282/FairSIN
To install requirements:
pip install -r requirements.txt
The instructions for the relevant experiments are all saved in experiment.sh.
The reweight.py
script contains the implementation of a data-centric variant, while the in-train.py
script is for the model-centric variant.