{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T21:07:25Z","timestamp":1774904845586,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Major Program of National Natural Science Foundation of China","award":["72192830"],"award-info":[{"award-number":["72192830"]}]},{"name":"Major Program of National Natural Science Foundation of China","award":["72192831"],"award-info":[{"award-number":["72192831"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176049"],"award-info":[{"award-number":["62176049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["B16009"],"award-info":[{"award-number":["B16009"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tetci.2024.3449900","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T14:36:57Z","timestamp":1725633417000},"page":"1229-1240","source":"Crossref","is-referenced-by-count":0,"title":["Topological Elastic Graph Convolutional Networks for Spatial-Temporal Sequence Forecasting"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3173-2001","authenticated-orcid":false,"given":"Yiwen","family":"Wang","sequence":"first","affiliation":[{"name":"National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4226-5651","authenticated-orcid":false,"given":"Meiling","family":"Xu","sequence":"additional","affiliation":[{"name":"Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9950-5169","authenticated-orcid":false,"given":"Lixin","family":"Tang","sequence":"additional","affiliation":[{"name":"National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2019.2935314"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s42524-020-0126-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2022.3228314"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.05.019"},{"key":"ref5","first-page":"1","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural inf. Proces. Syst.","volume":"27","author":"Sutskever"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.2008.2005605"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref10","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wu","year":"2019"},{"key":"ref11","article-title":"Revisiting graph neural networks: All we have is low-pass filters","author":"H.","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115326"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty535"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.06.075"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119815"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2023.3242308"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00810"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2022.3183679"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2022.3189408"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2023.3300303"},{"key":"ref21","first-page":"1","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref22","first-page":"339","article-title":"GaAN: Gated attention networks for learning on large and spatiotemporal graphs","volume-title":"Proc. 34th Conf. Uncertainty Artif. Intell.","author":"Zhang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2023.3284840"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2019.2897815"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2022.3232821"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.2978386"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref28","first-page":"4314","article-title":"Learning dynamic graph representation of brain connectome with spatio-temporal attention","volume-title":"Proc. Adv. Neural Inf. Proces. Syst.","volume":"6","author":"Kim","year":"2021"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512164"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339576"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2023.3290027"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2022.3210992"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1162\/netn_e_00096"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.29007\/57fw"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00256"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-031017-100045"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-010-9060-6"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00454-006-1276-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3104901"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3161030"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482225"},{"key":"ref45","first-page":"2713","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref46","first-page":"2920","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velickovic"},{"key":"ref47","first-page":"2667","article-title":"Predict then propagate: Graph neural networks meet personalized pageRank","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gasteiger"},{"key":"ref48","first-page":"6837","article-title":"Elastic graph neural networks","volume-title":"Proc. Mach. Learn. Res.","volume":"139","author":"Liu"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16514"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1029\/2020ms002203"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20711"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0_33"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2019.2935152"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7433297\/11456635\/10669085.pdf?arnumber=10669085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T20:08:54Z","timestamp":1774901334000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10669085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":53,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2024.3449900","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]}}}