{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:17:35Z","timestamp":1792797455817,"version":"4.5.0"},"reference-count":84,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DE200100964"],"award-info":[{"award-number":["DE200100964"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["LP210301259"],"award-info":[{"award-number":["LP210301259"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP230100899"],"award-info":[{"award-number":["DP230100899"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Project of Zhejiang Laboratory","award":["2022PI0AC01"],"award-info":[{"award-number":["2022PI0AC01"]}]},{"name":"Macquarie University DataX Research Centre","id":[{"id":"https:\/\/ror.org\/01sf06y89","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tnnls.2023.3341802","type":"journal-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T18:50:06Z","timestamp":1707850206000},"page":"3559-3572","source":"Crossref","is-referenced-by-count":26,"title":["Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3400-4061","authenticated-orcid":false,"given":"Xuexiong","family":"Luo","sequence":"first","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1371-5801","authenticated-orcid":false,"given":"Jia","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4408-1952","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7626-0162","authenticated-orcid":false,"given":"Hongyang","family":"Chen","sequence":"additional","affiliation":[{"name":"Research Center for Graph Computing, Zhejiang Laboratory, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5056-0351","authenticated-orcid":false,"given":"Zhao","family":"Li","sequence":"additional","affiliation":[{"name":"Research Center for Graph Computing, Zhejiang Laboratory, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0458-5977","authenticated-orcid":false,"given":"Hao","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9958-8673","authenticated-orcid":false,"given":"Chuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nurt.2007.05.011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21892"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00376-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TST.2014.6961028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nrn3214"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.08.085"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhl149"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2000.0552"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00141"},{"key":"ref12","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. ICLR","author":"Veli\u010dkovi\u0107"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467451"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00501-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00438-4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104096"},{"key":"ref17","article-title":"Effective and interpretable fMRI analysis via functional brain network generation","author":"Kan","year":"2021","journal-title":"arXiv:2107.11247"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.06.035"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.22"},{"key":"ref20","article-title":"Similarity learning with higher-order graph convolutions for brain network analysis","author":"Ma","year":"2018","journal-title":"arXiv:1811.02662"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995283"},{"key":"ref22","article-title":"Brain network transformer","author":"Kan","year":"2022","journal-title":"arXiv:2210.06681"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_36"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3282961"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref27","article-title":"Spectral networks and locally connected networks on graphs","author":"Bruna","year":"2013","journal-title":"arXiv:1312.6203"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1605.05273"},{"key":"ref29","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2879624"},{"key":"ref31","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599288"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2023.3235931"},{"key":"ref34","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. NIPS","volume":"33","author":"You"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-23303-9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab044"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00447-x"},{"key":"ref38","article-title":"Molecular representation learning via heterogeneous motif graph neural networks","author":"Yu","year":"2022","journal-title":"arXiv:2202.00529"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3056502"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.12.033"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11288"},{"key":"ref42","article-title":"BrainGB: A benchmark for brain network analysis with graph neural networks","author":"Cui","year":"2022","journal-title":"arXiv:2204.07054"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3542680"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3221617"},{"key":"ref45","article-title":"Contrastive brain network learning via hierarchical signed graph pooling model","author":"Tang","year":"2022","journal-title":"arXiv:2207.07650"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29763-x"},{"key":"ref49","article-title":"Distilling knowledge learned in BERT for text generation","author":"Chen","year":"2019","journal-title":"arXiv:1911.03829"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107722"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240567"},{"key":"ref52","first-page":"742","article-title":"Learning efficient object detection models with knowledge distillation","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_1"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00333"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/320"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539320"},{"key":"ref57","first-page":"1","article-title":"Magnetic resonance: A critical peer-reviewed introduction","volume-title":"Magnetic Resonance in Medicine. The Basic Textbook of the European Magnetic Resonance Forum","author":"Rinck","year":"2014"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1038\/35084005"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1038\/nrn730"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00123"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0978"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0197-52"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0197121"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00458"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1136\/adc.2004.064576"},{"key":"ref66","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. ICLR","author":"Xu"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref68","first-page":"1","article-title":"Graph information bottleneck for subgraph recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yu"},{"issue":"9","key":"ref69","first-page":"12","article-title":"The reduction of a graph to canonical form and the algebra which appears therein","volume":"2","author":"Weisfeiler","year":"1968","journal-title":"NTI, Ser."},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557661"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-00463-7"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1038\/tp.2016.18"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-018-0362-9"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2008.04.012"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2010.00013"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-016-9299-4"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1186\/s40035-016-0066-0"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2020.135512"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-010-0168-4"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068910"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0131133"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017170438"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3272-12.2012"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2010.12.014"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10877690\/10433441.pdf?arnumber=10433441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T02:11:41Z","timestamp":1738894301000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10433441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":84,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3341802","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}