2 papers
cs.IR2026
Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation
Nemat Gholinejad, Mostafa Haghir Chehreghani
Graph neural networks (GNNs) have proven to be an effective tool for enhancing the performance of recommender systems. However, these systems often suffer from popularity bias, lea…
cs.IR2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad, Mostafa Haghir Chehreghani
In recent years, graph neural networks (GNNs) have become a popular tool to improve the accuracy and performance of recommender systems. Modern recommender systems are not only des…