Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

arXiv — cs.LGWednesday, October 29, 2025 at 4:00:00 AM
A new approach called E^2-C has been proposed to improve spatio-temporal prediction, which is vital for fields like intelligent transportation and weather forecasting. This method addresses significant challenges such as the fusion of multi-modal data and the complexity of prediction models. By enhancing prediction accuracy, E^2-C could lead to better decision-making in urban planning and other critical areas, making it a noteworthy advancement in the field.
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