DNN-based prediction model for spatio-temporal data

Short summary

A novel Deep-Spatio-Temporal (DeepST) model leverages deep learning to predict spatio-temporal data by simultaneously modeling spatial dependencies and temporal patterns (closeness, period, trend), outperforming four baseline methods.

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