Fairwos learns pseudo-sensitive features from graph data and enforces fairness by aligning embeddings with nearby same-label nodes, claiming fair GNNs without sensitive attributes.
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Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes
Fairwos learns pseudo-sensitive features from graph data and enforces fairness by aligning embeddings with nearby same-label nodes, claiming fair GNNs without sensitive attributes.