Funder
National Natural Science Foundation of China
Natural Science Foundation of Beijing Municipality
National Key Research and Development Program of China
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference54 articles.
1. Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition;Chen;Transp. Res. C Emerg. Technol.,2018
2. Understanding urban mobility patterns with a probabilistic tensor factorization framework;Sun;Transp. Res. B Methodol.,2016
3. C.H. Liu, C. Piao, X. Ma, Y. Yuan, J. Tang, G. Wang, K.K. Leung, Modeling citywide crowd flows using attentive convolutional LSTM, in: IEEE 37th International Conference on Data Engineering, 2021, pp. 217–228.
4. STP-TrellisNets+: Spatial-temporal parallel TrellisNets for multi-step metro station passenger flow prediction;Ou;IEEE Trans. Knowl. Data Eng.,2023
5. C. Song, Y. Lin, S. Guo, H. Wan, Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, No. 1, 2020, pp. 914–921.
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