نسخة أولية وصول مفتوح
FairProp: Fair Node Representation Learning via Differentiable Propagation Layers
Graph neural networks (GNNs) are the standard tool for node representation learning and are increasingly used in high-stakes settings. Their message-passing backbone, however, can amplify topological bias, raising fairness concerns. We study group fairness at the level of downstream predictions for node classification, …