Renqiang Luo

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks

2024 · arXiv (Cornell University)

Fairness-aware Graph Neural Networks (GNNs) often face a challenging trade-off, where prioritizing fairness may require compromising utility. In this work, we re-examine fairness through the lens of spectral graph theory, aiming to reconcile fairness and …