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LSTM variants meet graph neural networks for road speed prediction., , , , , and . Neurocomputing, (2020)Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis., , , , , and . DEXA (2), volume 14147 of Lecture Notes in Computer Science, page 463-468. Springer, (2023)Active CTDaaS: A Data Service Framework Based on Transparent IoD in City Traffic., , , , , , and . IEEE Trans. Computers, 65 (12): 3524-3536 (2016)An evolvable and transparent data as a service framework for multisource data integration and fusion., , , , and . Peer-to-Peer Netw. Appl., 11 (4): 697-710 (2018)ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction., , , , , and . ICDM, page 718-727. IEEE, (2023)Highway Traffic Volume Prediction via Stacking KNN, SVR, MLP, RNN., , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1408-1413. IEEE, (2018)Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction., , , , , , and . ACM Trans. Intell. Syst. Technol., 13 (2): 20:1-20:24 (2022)KID Model-Driven Things-Edge-Cloud Computing Paradigm for Traffic Data as a Service., , , , and . IEEE Netw., 32 (1): 34-41 (2018)Leveraging Graph Neural Network with LSTM For Traffic Speed Prediction., , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 74-81. IEEE, (2019)Guaranteeing differential privacy for sequence predictions in bike sharing systems., , , , , and . Concurr. Comput. Pract. Exp., (2020)