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What is Prediction Art about?

The document presents a Decoupled Multi-spatio-temporal Fusion Graph Convolutional Recurrent Network (DMFGCRN) designed for traffic prediction, addressing limitations of existing methods that fail to capture dynamic spatio-temporal relationships. DMFGCRN introduces a dynamic embedding graph learner for time-varying adjacency matrices, a multi-layer architecture to separate steady-state from non-steady-state signals, and a fusion module that enhances predictions through historical context. Experimental resul

Author

Do Phung

Language

EN