most citedSAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 5 cited

SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks

Dingyi Zhuang, Yuheng Bu, Guang Wang +2

Quantifying uncertainty is crucial for robust and reliable predictions. However, existing spatiotemporal deep learning mostly focuses on deterministic prediction, overlooking the i…