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Research Article

A GATs-GAN framework for road traffic states forecasting

ORCID Icon, ORCID Icon, ORCID Icon, &
Pages 718-730 | Received 27 Jan 2021, Accepted 13 Jan 2022, Published online: 09 Feb 2022

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Yuan Zhang, Qixiu Cheng, Yang Liu & Zhiyuan Liu. (2023) Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach. Transportmetrica B: Transport Dynamics 11:1, pages 869-895.
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Articles from other publishers (1)

Jinlong Li, Pan Wu, Ruonan Li, Yuzhuang Pian, Zilin Huang, Lunhui Xu & Xiaochen Li. (2022) ST-CRMF: Compensated Residual Matrix Factorization with Spatial-Temporal Regularization for Graph-Based Time Series Forecasting. Sensors 22:15, pages 5877.
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