{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:14:42Z","timestamp":1785856482676,"version":"3.56.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tcss.2025.3525696","type":"journal-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T15:26:27Z","timestamp":1742570787000},"page":"2726-2735","source":"Crossref","is-referenced-by-count":2,"title":["Graph Attention-Based Dual Enhancement for Multiview Clustering"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6908-6269","authenticated-orcid":false,"given":"Guangquan","family":"Lu","sequence":"first","affiliation":[{"name":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2781-6728","authenticated-orcid":false,"given":"Fuqing","family":"Ling","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering\/School of Software, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6551-6292","authenticated-orcid":false,"given":"Jiechen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering\/School of Software, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5189-3304","authenticated-orcid":false,"given":"Longtao","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering\/School of Software, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2756-0955","authenticated-orcid":false,"given":"Xiaohua","family":"Qin","sequence":"additional","affiliation":[{"name":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6178-4763","authenticated-orcid":false,"given":"Sebing","family":"Nong","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Technology, Guilin Normal College, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"\u201cAn empirical study of graph contrastive learning,\u201d","volume-title":"Proc. Neural Inf. Process. Syst. Track Datasets Benchmarks 1, NeurIPS Datasets Benchmarks","author":"Zhu","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2021.9010066"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"ref4","article-title":"P. Li\u00f2, Y. Bengio, and R. Hjelm, \u201cDeep graph infomax,\u201d","author":"Velickovic","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2023.3242145"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2023.9010043"},{"issue":"11868","key":"ref7","article-title":"\u201cTowards graph contrastive learning: A survey and beyond,\u201d","volume":"2405","author":"Ju","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3268069"},{"key":"ref9","first-page":"5812","article-title":"\u201cGraph contrastive learning with augmentations","volume":"33","author":"You","year":"5823","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref10","first-page":"3434","article-title":"E. Yang, and C. Deng, \u201cGraph debiased contrastive learning with joint representation clustering,\u201d","volume-title":"Proc. IJCAI","author":"Zhao","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3244397"},{"key":"ref12","article-title":"Q. Liu, S. Wu, and L. Wang, \u201cDeep graph contrastive representation learning,\u201d","author":"Zhu","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20726"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3232117"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2024.3399784"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3089180"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM58861.2023.10386054"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26285"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25960"},{"key":"ref21","first-page":"5812","article-title":"\u201cGraph contrastive learning with augmentations","volume":"33","author":"You","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2023.3242145"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956484"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102953"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17198"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2932096"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/362"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330866"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3186512"},{"key":"ref31","first-page":"4116","article-title":"\u201cContrastive multi-view representation learning on graphs,\u201d","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Hassani","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/418"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3213208"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00909"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3339518"},{"key":"ref37","article-title":"P. Li\u00f2, Y. Bengio, and R. Hjelm, \u201cDeep graph infomax,\u201d","volume-title":"Proc. 7th Int. Conf. Learn. Representations (ICLR)","author":"Velickovic","year":"2019"},{"key":"ref38","first-page":"3434","article-title":"E. Yang, and C. Deng, \u201cGraph debiased contrastive learning with joint representation clustering,\u201d","volume-title":"Proc. IJCAI","author":"Zhao","year":"2021"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/317"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128629"},{"key":"ref41","first-page":"17","article-title":"\u201cProGCL: Rethinking hard negative mining in graph contrastive learning,\u201d","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Xia"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403140"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3117403"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3131941"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3184970"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6570650\/11194048\/10932830.pdf?arnumber=10932830","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T05:24:57Z","timestamp":1759814697000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10932830\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":45,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2025.3525696","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}