Author

E. Kariotakis

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#machine learning Preprint Oct 2026

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,...

E. Kariotakis, Aritra Konar · 0 citations