AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting.

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Bibliographic Details
Title: AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting.
Authors: Shi P; School of IoT Engineering, Wuxi University, Wuxi, China.; Jiangsu Engineering Research Center of Hyperconvergence application and security of IoT devices, Wuxi, China., Lu Q; School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing, China., Chen J; School of IoT Engineering, Wuxi University, Wuxi, China., Lv X; School of IoT Engineering, Wuxi University, Wuxi, China., Zhang L; School of IoT Engineering, Wuxi University, Wuxi, China., Kuang L; Jiangsu Vocational College of Information Technology, Wuxi, Hebei, China., Sun J; School of IoT Engineering, Wuxi University, Wuxi, China.; School of Electronics & Information Engineering, Nanjing University of Information Science & Technology, Nanjing, China.
Source: PloS one [PLoS One] 2026 Jun 04; Vol. 21 (6), pp. e0342235. Date of Electronic Publication: 2026 Jun 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0342235