{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:07:46Z","timestamp":1775912866340,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62173063"],"award-info":[{"award-number":["62173063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/tkde.2024.3383895","type":"journal-article","created":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T18:57:17Z","timestamp":1712084237000},"page":"3193-3204","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2964-4884","authenticated-orcid":false,"given":"Min","family":"Han","sequence":"first","affiliation":[{"name":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, Liaoning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8682-5502","authenticated-orcid":false,"given":"Qipeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3025580"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008774"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3017736"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3076155"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2866149"},{"key":"ref7","first-page":"1","article-title":"Learning continuous system dynamics from irregularly-sampled partial observations","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Huang"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467430"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2957786"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2771306"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/326"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2635657"},{"key":"ref16","first-page":"1","article-title":"Physics-informed autoencoders for Lyapunov-stable fluid flow prediction","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Erichson"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2188414"},{"key":"ref18","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box","year":"2015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-32348-0_11"},{"issue":"1","key":"ref20","first-page":"22","article-title":"Short-term traffic and travel time prediction models","volume":"22","author":"Van Lint","year":"2012","journal-title":"Artif. Intell. Appl. Crit. Transp. Issues"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2267735"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2712608"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054266"},{"key":"ref25","first-page":"1","article-title":"Learning long-term dependencies in irregularly-sampled time series","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Lechner"},{"key":"ref26","first-page":"6572","article-title":"Neural ordinary differential equations","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref27","first-page":"1","article-title":"Spectral networks and deep locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bruna"},{"key":"ref28","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11691"},{"key":"ref30","first-page":"1","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Bai"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403177"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3112746"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467385"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1119\/1.15378"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511617652.004"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827502410633"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10981836\/10487888.pdf?arnumber=10487888","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T18:28:15Z","timestamp":1746469695000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10487888\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":42,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3383895","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}