FASD debiases subgraphs by training score models to remove fairness-adversarial perturbations, then trains a GNN on the debiased subgraphs.
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Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
FASD debiases subgraphs by training score models to remove fairness-adversarial perturbations, then trains a GNN on the debiased subgraphs.