Dynamic Auto-Structuring Graph Neural Network: A Joint Learning Framework for Origin-Destination Demand Prediction
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DOI: 10.1109/tkde.2021.3135898
Abstract: Solving the demand prediction problem is an important part of improving the efficiency and reliability of ride-hailing services. Spatial-temporal graph learning methods have shown potential in modeling the spatial-temporal dependencies of ride-hailing demand data, but… read more here.
Keywords: demand prediction; destination demand; origin destination; graph ... See more keywords