Conference
Open access
Sep 2026
Towards Fair Graph Learning Without Demographic Supervision
Graph Neural Networks (GNNs) have demonstrated strong predictive performance across a wide range of applications. However, their increasing deployment has raised critical fairness concerns, as these models can inherit and amplify existing biases. Most existing fairness approaches rely on explicit demographic informatio...
Zi-Chong Wang, Zhi-Peng Yin, Mo Sha et al.
· Proceedings of the Thirty-Fi... · 4 citations