Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

Recent years have witnessed a rapid growth of applying deep spatiotemporal methods in traffic forecasting. However, the prediction of origin-destination (OD) demands is still a challenging problem since the number of OD pairs is usually quadratic to the number of stations. In this case, most of the...

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Veröffentlicht in:	arXiv.org 2022-05
Hauptverfasser:	Zhang, Ruixing, Han, Liangzhe, Liu, Boyi, Zeng, Jiayuan, Sun, Leilei
Format:	Artikel
Sprache:	eng
Schlagworte:	Graph representations Graphical representations Machine learning
Online-Zugang:	Volltext
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