{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T16:22:07Z","timestamp":1768321327020,"version":"3.49.0"},"reference-count":54,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071049"],"award-info":[{"award-number":["62071049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801026"],"award-info":[{"award-number":["61801026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M711814"],"award-info":[{"award-number":["2022M711814"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Natural Science Foundation Project","award":["4222018"],"award-info":[{"award-number":["4222018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tcss.2024.3402328","type":"journal-article","created":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T13:35:31Z","timestamp":1717680931000},"page":"3627-3636","source":"Crossref","is-referenced-by-count":2,"title":["Contrastive Hierarchical Augmentation Learning for Modeling Cognitive and Multimodal Brain Network"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1717-4053","authenticated-orcid":false,"given":"Gen","family":"Shi","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9544-8056","authenticated-orcid":false,"given":"Yuxiang","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7695-1633","authenticated-orcid":false,"given":"Yifan","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6599-7939","authenticated-orcid":false,"given":"Xinyue","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4509-0225","authenticated-orcid":false,"given":"Lanxin","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Child &#x0026; Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2673-5262","authenticated-orcid":false,"given":"Wenjin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Northern Jiangsu People&#x2019;s Hospital, Yangzhou University, Yangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1570-277X","authenticated-orcid":false,"given":"Xuesong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2023.3289995"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1357853"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2019.05.031"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-020-09630-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3101643"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.06.052"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00650"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106294"},{"key":"ref9","volume-title":"Graph Representation Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)","author":"Hamilton","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.71"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3211552"},{"key":"ref12","article-title":"A survey on the expressive power of graph neural networks","author":"Sato","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3139333"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2022.3152791"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3188891"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11081402"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.zemedi.2018.11.002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_60"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3297173"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7080155"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3575637.3575646"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3273255"},{"key":"ref23","first-page":"1","article-title":"What makes for good views for contrastive learning?","volume-title":"Proc. NeurIPS","author":"Tian","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3203630"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bht004"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref27","article-title":"An empirical study of graph contrastive learning","author":"Zhu","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.06.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_61"},{"key":"ref30","article-title":"FBNetGen: Task-aware GNN-based fMRI analysis via functional brain network generation","author":"Kan","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-Asia49877.2020.9276983"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871118"},{"key":"ref34","first-page":"4314","article-title":"Learning dynamic graph representation of brain connectome with spatio-temporal attention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Kim","year":"2021"},{"issue":"3","key":"ref35","first-page":"4","article-title":"Deep graph infomax.","volume":"2","author":"Velickovic","year":"2019","journal-title":"ICLR (Poster)"},{"key":"ref36","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hassani","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380112"},{"key":"ref39","first-page":"1","article-title":"Bootstrapped representation learning on graphs","volume-title":"Proc. ICLR Workshop Geometrical Topological Represent. Learn.","author":"Thakoor","year":"2021"},{"key":"ref40","article-title":"InfoGraph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization","author":"Sun","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.05.046"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"issue":"1","key":"ref43","first-page":"39","article-title":"Orthostatic hypotension: A practical approach","volume":"105","author":"Kim","year":"2022","journal-title":"Amer. Family Physician"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-021-00797-3"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00458"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhw157"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.11.007"},{"key":"ref48","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref49","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017"},{"key":"ref50","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3025110"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/310"},{"key":"ref53","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016"},{"key":"ref54","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"You","year":"2020"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6570650\/11194048\/10551626.pdf?arnumber=10551626","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T05:23:54Z","timestamp":1759814634000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10551626\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":54,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2024.3402328","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}