{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:07:07Z","timestamp":1755220027807,"version":"3.43.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"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":[[2025,8]]},"DOI":"10.1109\/tcss.2024.3367972","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T14:30:36Z","timestamp":1710945036000},"page":"1785-1793","source":"Crossref","is-referenced-by-count":2,"title":["Graph Convolutional Network for Adversarial Domain Generalization"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4906-1409","authenticated-orcid":false,"given":"Xiaoqing","family":"Zhang","sequence":"first","affiliation":[{"name":"Taiyuan Institute of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6620-0801","authenticated-orcid":false,"given":"Hao","family":"Su","sequence":"additional","affiliation":[{"name":"Taiyuan Institute of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1168-6565","authenticated-orcid":false,"given":"Xuebin","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Zhongqiao Vocational and Technical University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611871"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475481"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109319"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.03.031"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547866"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3354420"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2023.3346444"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7003"},{"key":"ref10","first-page":"19448","article-title":"Adversarial teacher-student representation learning for domain generalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang","year":"2021"},{"article-title":"Generalizing across domains via cross-gradient training","year":"2018","author":"Shankar","key":"ref11"},{"key":"ref12","first-page":"16096","article-title":"Domain generalization via entropy regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhao","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_38"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref15","first-page":"1718","article-title":"Generative moment matching networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li","year":"2015"},{"article-title":"Adversarial autoencoders","year":"2015","author":"Makhzani","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611740"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3153643"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084195"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref23","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Defferrard","year":"2016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611743"},{"key":"ref25","first-page":"8888","article-title":"Conditional GANs with auxiliary discriminative classifier","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hou","year":"2022"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.591"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.609"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"key":"ref32","first-page":"561","article-title":"Domain generalization with mixstyle","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Zhou","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00698"},{"key":"ref36","first-page":"1006","article-title":"MetaReg: Towards domain generalization using meta-regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (IPS)","volume":"31","author":"Balaji","year":"2018"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_10"},{"article-title":"SWAD: Domain generalization by seeking flat minima","year":"2021","author":"Cha","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_8"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1_79"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00858"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11596"},{"key":"ref43","article-title":"In search of lost domain generalization","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Gulrajani","year":"2021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_18"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00948"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/187"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570650\/11118943\/10475188.pdf?arnumber=10475188","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T17:45:37Z","timestamp":1754588737000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10475188\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":46,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2024.3367972","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"type":"electronic","value":"2329-924X"},{"type":"electronic","value":"2373-7476"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}