2026
CELL: A Causal Perspective for Fairness-aware Graph Adaptation
ICML 2026poster
This paper investigates fairness-aware graph adaptation, aiming to transfer knowledge from a labeled source graph to an unlabeled target graph while explicitly accounting for fairness. Most prior methods rely on adversarial learning to learn invariant graph representations of sensitive attributes. H…