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Showing 1 to 1 of 1 for “"Spatiotemporal Forecasting"”.
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Spatial-Temporal Multivariate Time Series Forecasting Using Graph Neural Networks, with an Application to Traffic Speed Prediction
Accurately forecasting complex, multivariate time series varying across space and time requires models that effectively capture spatial and temporal dependencies inherent in the data. This dissertation introduces a novel architecture based on Graph Neural Networks that addresses the challenges of …