NCPNet applies non-exchangeable conformal prediction to temporal graphs by diffusing non-conformity scores over graph and time neighbors and learning weighted quantiles to reduce prediction set size.
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Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
NCPNet applies non-exchangeable conformal prediction to temporal graphs by diffusing non-conformity scores over graph and time neighbors and learning weighted quantiles to reduce prediction set size.