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Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

, , , , , and . (2020)cite arxiv:2004.08555Comment: to be published in IEEE Transactions on Intelligent Transportation Systems.
DOI: 10.1109/TITS.2021.3054840

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ComCell: Exploring flexible and symmetrical architecture for data center networks., and . HPSR, page 8-13. IEEE, (2016)NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction., , , , and . CoRR, (2022)Do Transformers Really Perform Bad for Graph Representation?, , , , , , , and . CoRR, (2021)TFGAN: Traffic forecasting using generative adversarial network with multi-graph convolutional network., , and . Knowl. Based Syst., (2022)Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion., , , , , , and . Inf. Fusion, (2019)DPCell: Constructing Novel Architectures of Data Center Networks on Dual-Port Servers., , , and . IEEE Netw., 35 (4): 206-212 (2021)Path switching and call protection for reliable IP telephony., , , , and . BROADNETS, page 169-176. IEEE, (2007)Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks., , , and . WWW, page 2058-2068. ACM / IW3C2, (2021)To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion., , , , , , , , , and 1 other author(s). ACL (1), page 6335-6347. Association for Computational Linguistics, (2023)Long-sequence model for traffic forecasting in suboptimal situation., , , and . MobiArch, page 25-30. ACM, (2023)