3 papers
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…
cs.SI2024
Fairness-Aware Dense Subgraph Discovery
Emmanouil Kariotakis, Nicholas D. Sidiropoulos, Aritra Konar
Dense subgraph discovery (DSD) is a key graph mining primitive with myriad applications including finding densely connected communities which are diverse in their vertex compositio…