RCP-GNN couples a rank-based conformal score with a differentiable conformal training loss to produce smaller prediction sets at target empirical coverage for node classification.
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Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
RCP-GNN couples a rank-based conformal score with a differentiable conformal training loss to produce smaller prediction sets at target empirical coverage for node classification.