{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T20:07:55Z","timestamp":1779739675034,"version":"3.53.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development, China Project","doi-asserted-by":"publisher","award":["2023YFE0206200"],"award-info":[{"award-number":["2023YFE0206200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,6,1]]},"DOI":"10.1109\/jiot.2026.3663375","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:05:58Z","timestamp":1770757558000},"page":"22756-22769","source":"Crossref","is-referenced-by-count":0,"title":["Meta-Guided Graph Lightweight TimesNet for Traffic Prediction in Internet of Vehicles"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2320-2791","authenticated-orcid":false,"given":"Shijie","family":"Li","sequence":"first","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3555-3433","authenticated-orcid":false,"given":"Lulu","family":"Chen","sequence":"additional","affiliation":[{"name":"China Southern Power Grid Artificial Intelligence Technology Company Ltd., Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1660-0301","authenticated-orcid":false,"given":"Weijian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9123-822X","authenticated-orcid":false,"given":"Guanlin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8218-3490","authenticated-orcid":false,"given":"Jiawen","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-7416","authenticated-orcid":false,"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0634-3085","authenticated-orcid":false,"given":"Huaiguang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3340182"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3529761"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3297849"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2025.3569333"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i6.25880"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25976"},{"key":"ref7","first-page":"6694","article-title":"GReTo: Remedying dynamic graph topology-task discordance via target homophily","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhou"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25555"},{"key":"ref9","first-page":"6423","article-title":"TimesNet: Temporal 2D-variation modeling for general time series analysis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Wu"},{"key":"ref10","first-page":"2079","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2025.3599157"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3265300"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3329489"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3251022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25556"},{"key":"ref18","first-page":"17127","article-title":"Learning to remember patterns: Pattern matching memory networks for traffic forecasting","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lee"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330887"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3233801"},{"key":"ref22","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref23","first-page":"2713","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3105446"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2025.127227"},{"key":"ref26","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3412119"},{"key":"ref28","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Defferrard"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16591"},{"key":"ref30","first-page":"12878","article-title":"Discrete graph structure learning for forecasting multiple time series","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Shang"},{"key":"ref31","first-page":"103","article-title":"Hypernetworks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ha"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_31"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref36","first-page":"17766","article-title":"Spectral temporal graph neural network for multivariate time-series forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Cao"},{"key":"ref37","first-page":"17804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Bai"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-23719-3"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11534158\/11389770.pdf?arnumber=11389770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T19:56:33Z","timestamp":1779738993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11389770\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,1]]},"references-count":38,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3663375","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,1]]}}}