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Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction.

, , , , and . Trans. Emerg. Telecommun. Technol., (2020)

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BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders., , , , , , , , , and 7 other author(s). EMBC, page 1622-1626. IEEE, (2021)Spatiotemporal traffic matrix prediction: A deep learning approach with wavelet multiscale analysis., , , and . Trans. Emerg. Telecommun. Technol., (2019)GPTE: Efficient Graph Partitioning-based Traffic Engineering in Hybrid SDN/IP Networks., , , , , and . HPCC/DSS/SmartCity, page 958-966. IEEE, (2020)Aggregating multi-scale contextual features from multiple stages for semantic image segmentation., , , , and . Connect. Sci., 33 (3): 605-622 (2021)A Microfluidic Device for Nano-scale Extracellular Vesicles Differentiation Via The Synergetic Effect of Deterministic Lateral Displacement and Dielectrophoresis., , and . NEMS, page 174-177. IEEE, (2023)Spatiotemporal graph convolutional recurrent networks for traffic matrix prediction., , , , and . Trans. Emerg. Telecommun. Technol., (2020)Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Multi-level graph convolutional recurrent neural network for semantic image segmentation., , , , and . Telecommun. Syst., 77 (3): 563-576 (2021)Towards missing traffic data imputation using attention-based temporal convolutional networks., , , and . ITSC, page 3733-3739. IEEE, (2022)Development of a novel perfusion microfluidic cell culture device for cell-based assays., , , , and . NEMS, page 257-260. IEEE Computer Society, (2009)