A post-hoc GNN calibration method that groups nodes by confidence and neighborhood prediction similarity and applies group-specific temperatures, reducing expected calibration error on many benchmarks.
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
A post-hoc GNN calibration method that groups nodes by confidence and neighborhood prediction similarity and applies group-specific temperatures, reducing expected calibration error on many benchmarks.