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cs.LG2026
FairProp: Fair Node Representation Learning via Differentiable Propagation Layers
Emmanouil Kariotakis, Aritra Konar
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…
cs.LG2026
FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
Emmanouil Kariotakis, Aritra Konar
PageRank (PR) is a fundamental algorithm in graph machine learning tasks. Owing to the increasing importance of algorithmic fairness, we consider the problem of computing PR vector…