2 papers
cs.LG2026
Quantile-Free Uncertainty Quantification in Graph Neural Networks
Soyoung park, Hwanjun Song, Sungsu Lim
Uncertainty quantification (UQ) in graph neural networks (GNNs) is crucial in high-stakes domains but remains a significant challenge. In graph settings, message passing often reli…
cs.LG2025
FnRGNN: Distribution-aware Fairness in Graph Neural Network
Soyoung Park, Sungsu Lim
Graph Neural Networks (GNNs) excel at learning from structured data, yet fairness in regression tasks remains underexplored. Existing approaches mainly target classification and re…