{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:40:41Z","timestamp":1783183241639,"version":"3.54.6"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2021YFF0501601"],"award-info":[{"award-number":["2021YFF0501601"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["W2432042"],"award-info":[{"award-number":["W2432042"]}],"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":["82272070"],"award-info":[{"award-number":["82272070"]}],"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":["62301344"],"award-info":[{"award-number":["62301344"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tbme.2025.3617348","type":"journal-article","created":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T17:38:39Z","timestamp":1759426719000},"page":"1863-1876","source":"Crossref","is-referenced-by-count":4,"title":["Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0921-8949","authenticated-orcid":false,"given":"Shijia","family":"Zuo","sequence":"first","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, School of Information Science and Technology, University of Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Li","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, School of Information Science and Technology, University of Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2178-4700","authenticated-orcid":false,"given":"Yinbao","family":"Qi","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8849-5228","authenticated-orcid":false,"given":"Aiping","family":"Liu","sequence":"additional","affiliation":[{"name":"MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, School of Information Science and Technology, University of Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s13052-022-01310-w"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/15374416.2017.1417860"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116698"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.04.087"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41582-022-00753-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/psyrad\/kkab003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.10.015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.08.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2014.12.013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105676"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2023.100211"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.09.046"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102181"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3209686"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1855"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43993-3_28"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72390-2_14"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2024.108065"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_21"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_55"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93049-3_30"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105823"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3314516"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104096"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3219260"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103368"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102619"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_36"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.7326\/m19-2548"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0978"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21333"},{"key":"ref33","first-page":"2713","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3081010"},{"key":"ref35","first-page":"3734","article-title":"Self-attention graph pooling","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lee","year":"2019"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3211006"},{"key":"ref37","first-page":"29560","article-title":"Graph external attention enhanced transformer","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Liang","year":"2024"},{"key":"ref38","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gilmer","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04648-4_7"},{"key":"ref40","first-page":"10945","article-title":"Break the ceiling: Stronger multi-scale deep graph convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Luan","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3248111"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273600"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3389\/conf.fninf.2013.09.00042"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.06.034"},{"key":"ref46","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma","year":"2015"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s12264-017-0118-1"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2024.111848"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2022.111516"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2024.3370415"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/srep26527"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-021-01197-x"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-021-01301-1"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1503\/jpn.230146"},{"key":"ref56","first-page":"3104","article-title":"FastGCN: Fast learning with graph convolutional networks via importance sampling","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Chen","year":"2018"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10\/11500580\/11190013.pdf?arnumber=11190013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T19:46:49Z","timestamp":1777578409000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11190013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":56,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2025.3617348","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}