{"id":"https://openalex.org/W4221149703","doi":"https://doi.org/10.1109/tmi.2022.3201974","title":"GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis","display_name":"GATE: Graph CCA for Temporal Self-Supervised Learning for Label-Efficient fMRI Analysis","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4221149703","doi":"https://doi.org/10.1109/tmi.2022.3201974","pmid":"https://pubmed.ncbi.nlm.nih.gov/36018878"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3201974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3201974","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.09034","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100612023","display_name":"Liang Peng","orcid":"https://orcid.org/0000-0002-9831-2787"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Peng","raw_affiliation_strings":["Center for Future Media and the Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9831-2787","affiliations":[{"raw_affiliation_string":"Center for Future Media and the Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332771","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-8418-6249"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["School of Computer Science and Engineering, East China Normal University, Shanghai, China","Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075015477","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0003-1675-1821"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["Center for Future Media and the Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1675-1821","affiliations":[{"raw_affiliation_string":"Center for Future Media and the Department of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037340898","display_name":"Xiaofeng Zhu","orcid":"https://orcid.org/0000-0001-6840-0578"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6840-0578","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458657","display_name":"Xiaoxiao Li","orcid":"https://orcid.org/0000-0002-8833-0244"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8833-0244","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.7309,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98752425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"42","issue":"2","first_page":"391","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7671726942062378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6655903458595276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6074685454368591},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5462989807128906},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5429648160934448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4920772910118103},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4751531779766083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46693557500839233},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45538899302482605},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13475123047828674},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11329463124275208},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11101594567298889}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7671726942062378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655903458595276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6074685454368591},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5462989807128906},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5429648160934448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4920772910118103},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4751531779766083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46693557500839233},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45538899302482605},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13475123047828674},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11329463124275208},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11101594567298889},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001321","descriptor_name":"Autistic Disorder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001321","descriptor_name":"Autistic Disorder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001321","descriptor_name":"Autistic Disorder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3201974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3201974","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36018878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36018878","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2203.09034","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.09034","pdf_url":"https://arxiv.org/pdf/2203.09034","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.09034","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.09034","pdf_url":"https://arxiv.org/pdf/2203.09034","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3574838044","display_name":null,"funder_award_id":"61876046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5498484320","display_name":"A Comprehensive Study Towards Lifelong Federated Learning Systems","funder_award_id":"dgecr-2022-00430","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G6851083702","display_name":null,"funder_award_id":"NS-5001-22170","funder_id":"https://openalex.org/F4320315157","funder_display_name":"Public Safety Canada"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320315157","display_name":"Public Safety Canada","ror":"https://ror.org/032mgcs57"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1686946872","https://openalex.org/W1964455563","https://openalex.org/W2003739479","https://openalex.org/W2057550180","https://openalex.org/W2064563223","https://openalex.org/W2288345344","https://openalex.org/W2411460890","https://openalex.org/W2533800772","https://openalex.org/W2556383977","https://openalex.org/W2755670787","https://openalex.org/W2793350103","https://openalex.org/W2806489700","https://openalex.org/W2842511635","https://openalex.org/W2891599848","https://openalex.org/W2899533224","https://openalex.org/W2908510526","https://openalex.org/W2917551568","https://openalex.org/W2921730678","https://openalex.org/W2922358010","https://openalex.org/W2935087249","https://openalex.org/W2962711740","https://openalex.org/W2963168174","https://openalex.org/W2963196212","https://openalex.org/W2966036416","https://openalex.org/W2979810935","https://openalex.org/W2980111163","https://openalex.org/W2996291800","https://openalex.org/W2998642388","https://openalex.org/W3005600289","https://openalex.org/W3013034147","https://openalex.org/W3035524453","https://openalex.org/W3037286204","https://openalex.org/W3091005297","https://openalex.org/W3111742669","https://openalex.org/W3116871539","https://openalex.org/W3118287301","https://openalex.org/W3120007598","https://openalex.org/W3169752883","https://openalex.org/W3199008037","https://openalex.org/W3204926104","https://openalex.org/W3209047863","https://openalex.org/W3209594421","https://openalex.org/W4224285717","https://openalex.org/W4232577076","https://openalex.org/W4283796272","https://openalex.org/W4287328627","https://openalex.org/W4297808394","https://openalex.org/W4313156423","https://openalex.org/W6637108112","https://openalex.org/W6726873649","https://openalex.org/W6754929296","https://openalex.org/W6755573351","https://openalex.org/W6757817989","https://openalex.org/W6774314701","https://openalex.org/W6775698352","https://openalex.org/W6777179611","https://openalex.org/W6779326418","https://openalex.org/W6779518175","https://openalex.org/W6779678126","https://openalex.org/W6780191644","https://openalex.org/W6781476637","https://openalex.org/W6784232266","https://openalex.org/W6796233595","https://openalex.org/W6798331393","https://openalex.org/W6802351828","https://openalex.org/W6803865595","https://openalex.org/W6803870738","https://openalex.org/W6810080845","https://openalex.org/W6810398666","https://openalex.org/W6810624682"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W2787993192","https://openalex.org/W4399188509"],"abstract_inverted_index":{"In":[0,17],"this":[1,100,134],"work,":[2],"we":[3,56,102,119],"focus":[4],"on":[5,66,75,124,146,155,169,177],"the":[6,130],"challenging":[7],"task,":[8],"neuro-disease":[9],"classification,":[10],"using":[11],"functional":[12,112],"magnetic":[13],"resonance":[14],"imaging":[15],"(fMRI).":[16],"population":[18,150],"graph-based":[19],"disease":[20],"analysis,":[21],"graph":[22,106,151],"convolutional":[23],"neural":[24],"networks":[25],"(GCNs)":[26],"have":[27],"achieved":[28],"remarkable":[29],"success.":[30],"However,":[31],"these":[32],"achievements":[33],"are":[34],"inseparable":[35],"from":[36,109],"abundant":[37],"labeled":[38,158],"data":[39],"and":[40,50,60,87,94,128,152,179],"sensitive":[41],"to":[42,83,91],"spurious":[43],"signals.":[44],"To":[45,99],"improve":[46],"fMRI":[47,76,110,149,159,172],"representation":[48],"learning":[49,63,74,140],"classification":[51,163],"under":[52],"a":[53,58,85,136,156,162],"label-efficient":[54],"setting,":[55],"propose":[57],"novel":[59,137],"theory-driven":[61],"self-supervised":[62],"(SSL)":[64],"framework":[65],"GCNs,":[67],"namely":[68],"Graph":[69],"CCA":[70],"for":[71,97,115,161],"Temporal":[72],"sElf-supervised":[73],"analysis":[77,122],"(GATE).":[78],"Concretely,":[79],"it":[80],"is":[81,167,184],"demanding":[82],"design":[84],"suitable":[86],"effective":[88],"SSL":[89,116,145],"strategy":[90],"extract":[92],"formation":[93],"robust":[95],"features":[96],"fMRI.":[98],"end,":[101],"investigate":[103],"several":[104],"new":[105],"augmentation":[107],"strategies":[108],"dynamic":[111],"connectives":[113],"(FC)":[114],"training.":[117],"Further,":[118],"leverage":[120],"canonical-correlation":[121],"(CCA)":[123],"different":[125],"temporal":[126],"embeddings":[127],"present":[129],"theoretical":[131],"implications.":[132],"Consequently,":[133],"yields":[135],"two-step":[138],"GCN":[139],"procedure":[141],"comprised":[142],"of":[143],"(i)":[144],"an":[147],"unlabeled":[148],"(ii)":[153],"fine-tuning":[154],"small":[157],"dataset":[160],"task.":[164],"Our":[165,182],"method":[166],"tested":[168],"two":[170],"independent":[171],"datasets,":[173],"demonstrating":[174],"superior":[175],"performance":[176],"autism":[178],"dementia":[180],"diagnosis.":[181],"code":[183],"available":[185],"at":[186],"https://github.com/LarryUESTC/GATE.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}