{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:24:23Z","timestamp":1778081063779,"version":"3.51.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities, Chang'an University","doi-asserted-by":"publisher","award":["300102244714"],"award-info":[{"award-number":["300102244714"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Innovation Practice Project for Postgraduates of Chang'an University","award":["300103724054"],"award-info":[{"award-number":["300103724054"]}]},{"name":"Youth Talent Promotion Program of Shaanxi Association for Science and Technology","award":["20250463"],"award-info":[{"award-number":["20250463"]}]},{"name":"Shaanxi Provincial Natural Science Basic Research Program\u2013Youth Project","award":["2025JC-YBQN-584"],"award-info":[{"award-number":["2025JC-YBQN-584"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3613964","type":"journal-article","created":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T17:33:39Z","timestamp":1758735219000},"page":"1-15","source":"Crossref","is-referenced-by-count":3,"title":["A Text-Guided Graph Neural Network for Predicting Long-Range Trajectories of Sea-Surface Objects"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1080-9298","authenticated-orcid":false,"given":"Yuanlin","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4508-3076","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Data Science and Artificial Intelligence, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0052-5753","authenticated-orcid":false,"given":"Xiangjun","family":"Song","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9340-5355","authenticated-orcid":false,"given":"Xiaoxiao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7236-8189","authenticated-orcid":false,"given":"Jun","family":"Rao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5232-6901","authenticated-orcid":false,"given":"Yao","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8707-3381","authenticated-orcid":false,"given":"Jiangang","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Chang’an University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/1748-3190\/ad493b"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsams.2023.10.017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3373370"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111091"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/plankt\/fbae015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3352180"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3345296"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.117431"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3345296"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw63382.2024.00574"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10611104"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127117"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-023-05850-8"},{"key":"ref14","article-title":"Learning efficient positional encodings with graph neural networks","author":"Kanatsoulis","year":"2025","journal-title":"arXiv:2502.01122"},{"key":"ref15","article-title":"Towards graph foundation models: A study on the generalization of positional and structural encodings","author":"Franks","year":"2024","journal-title":"arXiv:2412.07407"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111458"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103286"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109997"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.117232"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/computers13060151"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110477"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3381990"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2024.3368931"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3354809"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/icsece61636.2024.10729331"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103064"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jretconser.2024.103705"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2023.114150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-024-1510-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2024.104695"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102146"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102466"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102682"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102229"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121977"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29615"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/fi16090318"},{"key":"ref38","article-title":"Bearing fault diagnosis using graph sampling and aggregation network","author":"Chen","year":"2024","journal-title":"arXiv:2408.07099"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.istruc.2025.108388"},{"key":"ref40","article-title":"Flight trajectory prediction using an enhanced CNN-LSTM network","author":"Hao","year":"2024","journal-title":"arXiv:2404.19218"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/aerospace11100822"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3396475"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120455"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3388040"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3485721"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3258666"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3363057"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3390765"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01443"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2023.167591"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/romoco60539.2024.10604362"},{"key":"ref52","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref53","doi-asserted-by":"crossref","DOI":"10.1109\/WACVW58289.2023.00033","article-title":"1st workshop on maritime computer vision (MaCVi) 2023: Challenge results","volume-title":"arXiv:2211.13508","author":"Kiefer"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3119563"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3359237"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72848-8_6"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11177598.pdf?arnumber=11177598","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T04:41:20Z","timestamp":1761280880000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11177598\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3613964","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}