3 papers
cs.SI2026
Locally Fair PageRank: Mean-Field Approximation and One-Step Refinement
Mukesh Kumar, Gaurav Dixit, Akrati Saxena
Graph-based ranking methods such as PageRank can amplify structural disparities in networks, motivating fairness-aware ranking mechanisms for sensitive groups. Locally Fair PageRan…
cs.SI2026
Fairness-Aware Network Embeddings: Methods, Applications, and Challenges
Ella Has, Harshith Kumar Yadav, Gaurav Dixit +2
Network embedding methods learn low-dimensional representations of graph-structured data to support downstream tasks such as node classification, link prediction, and influence max…
cs.SI2026
Fairness-Sensitive PageRank Approximation
Mukesh Kumar, Gaurav Dixit, Akrati Saxena
Real-world social networks have structural inequalities, including the majority and minorities, and fairness-agnostic centrality measures often amplify these inequalities by dispro…