{"id":"https://openalex.org/W7138301751","doi":"https://doi.org/10.1609/aaai.v40i21.38817","title":"BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis","display_name":"BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138301751","doi":"https://doi.org/10.1609/aaai.v40i21.38817"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i21.38817","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38817","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38817/42779","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38817/42779","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048380466","display_name":"Jiajun Ma","orcid":"https://orcid.org/0000-0003-2949-3219"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Ma","raw_affiliation_strings":["Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129718957","display_name":"Yongchao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Zhang","raw_affiliation_strings":["Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129711519","display_name":"Chao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129718954","display_name":"Zhao Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Lv","raw_affiliation_strings":["Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129731494","display_name":"Shengbing Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbing Pei","raw_affiliation_strings":["Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19826622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"21","first_page":"17617","last_page":"17625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9041000008583069,"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":0.9041000008583069,"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":0.030500000342726707,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.027699999511241913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6413000226020813},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.583299994468689},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5612999796867371},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.46889999508857727},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4140999913215637},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4058000147342682},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4009999930858612},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.38830000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340999841690063},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6413000226020813},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.583299994468689},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5612999796867371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4855000078678131},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.46889999508857727},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4009999930858612},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.38830000162124634},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32350000739097595},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2597000002861023},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i21.38817","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38817","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38817/42779","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38817","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i21.38817","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i21.38817","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38817/42779","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1729437201","display_name":null,"funder_award_id":"62476004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138301751.pdf","grobid_xml":"https://content.openalex.org/works/W7138301751.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph":[0,112],"Transformer":[1,113],"shows":[2],"remarkable":[3],"potential":[4],"in":[5],"brain":[6,27,42,52,66,86,175],"network":[7],"analysis":[8],"due":[9],"to":[10,13,87,124,140,173,184],"its":[11,33,220],"ability":[12],"model":[14,25],"graph":[15],"structures":[16],"and":[17,36,62,71,74,92,145,180,194,209],"complex":[18,100],"node":[19,48],"relationships.":[20],"Most":[21],"existing":[22],"methods":[23],"typically":[24],"the":[26,85,97,116,152,158,186,191,213,217],"as":[28],"a":[29,56,110,130,164,170],"flat":[30],"network,":[31],"ignoring":[32,46],"modular":[34,160],"structure,":[35],"their":[37],"attention":[38,134],"mechanisms":[39],"treat":[40],"all":[41],"region":[43],"connections":[44],"equally,":[45],"distance-related":[47],"connection":[49],"patterns.":[50],"However,":[51],"information":[53,94,119],"processing":[54,120],"is":[55],"hierarchical":[57,81,111],"process":[58],"that":[59,114,136,168,199],"involves":[60],"local":[61,90,122,143],"long-range":[63,147],"interactions":[64,68,75,144],"between":[65,69],"regions,":[67],"regions":[70,123,176],"sub-functional":[72,214],"modules,":[73],"among":[76],"functional":[77,178],"modules":[78,215],"themselves.":[79],"This":[80],"interaction":[82],"mechanism":[83,172],"enables":[84],"efficiently":[88],"integrate":[89],"computations":[91],"global":[93,125],"flow,":[95],"supporting":[96],"execution":[98],"of":[99,206,216],"cognitive":[101],"functions.":[102],"To":[103,155],"address":[104],"this":[105],"issue,":[106],"we":[107,128,162],"propose":[108],"BrainHGT,":[109],"simulates":[115],"brain\u2019s":[117,159],"natural":[118],"from":[121],"communities.":[126],"Specifically,":[127],"design":[129],"novel":[131],"long-short":[132],"range":[133],"encoder":[135],"utilizes":[137,169],"parallel":[138],"pathways":[139],"handle":[141],"dense":[142],"sparse":[146],"connections,":[148],"thereby":[149,189],"effectively":[150],"alleviating":[151],"over-globalizing":[153],"issue.":[154],"further":[156],"capture":[157,212],"architecture,":[161],"designe":[163],"prior-guided":[165],"clustering":[166,187],"module":[167],"cross-attention":[171],"group":[174],"into":[177],"communities":[179],"leverage":[181],"neuroanatomical":[182],"prior":[183],"guide":[185],"process,":[188],"improving":[190],"biological":[192],"plausibility":[193],"interpretability.":[195,221],"Experimental":[196],"results":[197],"indicate":[198],"our":[200],"proposed":[201],"method":[202],"significantly":[203],"improves":[204],"performance":[205],"disease":[207],"identification,":[208],"can":[210],"reliably":[211],"brain,":[218],"demonstrating":[219]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}