STDCformer adds learned spatial and temporal confounder weights and cross-time attention to a transformer, reporting small accuracy gains in crowd flow prediction on two New York taxi datasets.
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STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction
STDCformer adds learned spatial and temporal confounder weights and cross-time attention to a transformer, reporting small accuracy gains in crowd flow prediction on two New York taxi datasets.