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ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
When pre-trained on the big scale datasets and transferred to the medium and small scale datasets, ProSTformer achieves a significant enhancement and behaves best.
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network
Spatial and temporal features are critical for demand forecasting in BSSs, but it is challenging to extract spatiotemporal dynamics.
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