WATS uses heat-kernel graph wavelet features to predict node-specific temperatures for GNN calibration, reporting the lowest ECE on benchmark datasets, though hyperparameter selection uses test-set information.
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WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
WATS uses heat-kernel graph wavelet features to predict node-specific temperatures for GNN calibration, reporting the lowest ECE on benchmark datasets, though hyperparameter selection uses test-set information.