{"id":"https://openalex.org/W4410343032","doi":"https://doi.org/10.1109/tkde.2025.3569648","title":"Heterogeneous Graph-Based Multimodal Brain Network Learning","display_name":"Heterogeneous Graph-Based Multimodal Brain Network Learning","publication_year":2025,"publication_date":"2025-05-13","ids":{"openalex":"https://openalex.org/W4410343032","doi":"https://doi.org/10.1109/tkde.2025.3569648"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3569648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569648","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090123380","display_name":"Gen Shi","orcid":"https://orcid.org/0000-0002-1717-4053"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gen Shi","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1717-4053","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034415838","display_name":"Yifan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7695-1633","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009453660","display_name":"Wenjin Liu","orcid":"https://orcid.org/0000-0002-2673-5262"},"institutions":[{"id":"https://openalex.org/I4210137355","display_name":"Northern Jiangsu People's Hospital","ror":"https://ror.org/04gz17b59","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210137355"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Liu","raw_affiliation_strings":["Department of Nephrology, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, China","Department of Nephrology, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2673-5262","affiliations":[{"raw_affiliation_string":"Department of Nephrology, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I4210137355"]},{"raw_affiliation_string":"Department of Nephrology, Northern Jiangsu People's Hospital, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I4210137355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8944-8618","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449095","display_name":"Xuesong Li","orcid":"https://orcid.org/0000-0003-1570-277X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1570-277X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090123380"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":19.5593,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9913372,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"37","issue":"8","first_page":"4664","last_page":"4676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9674000144004822,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9674000144004822,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/computer-science","display_name":"Computer science","score":0.8301059007644653},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45056360960006714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4301798343658447},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.41995781660079956},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30098289251327515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301059007644653},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45056360960006714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4301798343658447},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.41995781660079956},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30098289251327515},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3569648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569648","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1455365679","display_name":null,"funder_award_id":"62071049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G297237937","display_name":null,"funder_award_id":"62406036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4712560445","display_name":null,"funder_award_id":"624B2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7625118313","display_name":null,"funder_award_id":"82302133","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1982844276","https://openalex.org/W1994341528","https://openalex.org/W2028739995","https://openalex.org/W2033713584","https://openalex.org/W2108925976","https://openalex.org/W2109795533","https://openalex.org/W2116376209","https://openalex.org/W2154851992","https://openalex.org/W2528515646","https://openalex.org/W2548682041","https://openalex.org/W2560584411","https://openalex.org/W2774446342","https://openalex.org/W2779020697","https://openalex.org/W2806489700","https://openalex.org/W2911286998","https://openalex.org/W2915023902","https://openalex.org/W2921730678","https://openalex.org/W2945623882","https://openalex.org/W2963458513","https://openalex.org/W2963919031","https://openalex.org/W2979810935","https://openalex.org/W2979847772","https://openalex.org/W2983706427","https://openalex.org/W3005600289","https://openalex.org/W3036446966","https://openalex.org/W3089503988","https://openalex.org/W3090524777","https://openalex.org/W3096301115","https://openalex.org/W3114303065","https://openalex.org/W3116871539","https://openalex.org/W3123500501","https://openalex.org/W3152831887","https://openalex.org/W3172710079","https://openalex.org/W3173985861","https://openalex.org/W3179367583","https://openalex.org/W3186899711","https://openalex.org/W3203618221","https://openalex.org/W3210073855","https://openalex.org/W4206105356","https://openalex.org/W4285378361","https://openalex.org/W4290944046","https://openalex.org/W4294170691","https://openalex.org/W4319878968","https://openalex.org/W4321194469","https://openalex.org/W4377564881","https://openalex.org/W4378195015","https://openalex.org/W4382239691","https://openalex.org/W4384028920","https://openalex.org/W4384923679","https://openalex.org/W4390872161","https://openalex.org/W4391741295","https://openalex.org/W4392548704","https://openalex.org/W4399416133","https://openalex.org/W4406580882","https://openalex.org/W4407214698","https://openalex.org/W4408112514"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"Graph":[0],"neural":[1,86],"networks":[2],"(GNNs)":[3],"provide":[4],"powerful":[5],"insights":[6],"into":[7],"brain":[8,24,54,64,91,99],"neuroimaging":[9,92,231],"technology":[10],"from":[11,27],"the":[12,23,48,58,98,111,136,142,159,162,212,224],"view":[13],"of":[14,50,108,161,214,226],"graphical":[15],"networks.":[16],"However,":[17],"most":[18],"existing":[19,167],"GNN-based":[20],"models":[21],"treat":[22],"connectome,":[25],"derived":[26],"neuroimaging,":[28],"as":[29,101],"a":[30,82,102,126,145,150],"homogeneous":[31,199],"graph":[32,66,85,104,200],"characterized":[33],"by":[34,141,197],"uniform":[35],"node":[36],"and":[37,46,113,116,120,149],"edge":[38],"types.":[39],"In":[40],"fact,":[41],"emerging":[42],"studies":[43],"have":[44],"reported":[45],"emphasized":[47],"significance":[49],"heterogeneity":[51],"among":[52],"human":[53],"activities,":[55],"especially":[56],"between":[57,144],"two":[59],"cerebral":[60,73],"hemispheres.":[61],"Thus,":[62],"homogeneous-structured":[63],"network-based":[65],"methods":[67,168],"are":[68],"insufficient":[69],"for":[70,89,130],"modeling":[71],"complicated":[72],"activity":[74],"states.":[75],"To":[76],"overcome":[77],"this":[78,131],"problem,":[79],"we":[80],"introduce":[81],"novel":[83],"heterogeneous":[84,103,132,179],"network":[87,100,133],"(HeBrainGNN)":[88],"multimodal":[90],"fusion":[93],"learning.":[94],"HeBrainGNN":[95],"first":[96],"conceptualizes":[97],"with":[105],"multiple":[106],"types":[107],"nodes":[109],"(representing":[110],"left":[112],"right":[114],"hemispheres)":[115],"edges":[117],"(categorizing":[118],"intra-":[119],"interhemispheric":[121],"interactions).":[122],"We":[123],"further":[124],"develop":[125],"self-supervised":[127],"pretraining":[128,207],"strategy":[129,208],"to":[134,185,193],"address":[135],"potential":[137,225],"overfitting":[138],"problem":[139],"caused":[140],"conflict":[143],"large":[146],"parameter":[147],"size":[148],"small":[151],"medical":[152],"data":[153,217],"sample":[154],"size.":[155],"Empirical":[156],"results":[157],"show":[158,176],"superiority":[160],"proposed":[163],"model":[164,181],"over":[165],"other":[166],"in":[169,229],"brain-related":[170],"disease":[171],"prediction":[172],"tasks.":[173],"Ablation":[174],"experiments":[175,203],"that":[177,188,205],"our":[178,206,227],"graph-based":[180],"attaches":[182],"more":[183],"importance":[184],"hemispheric":[186],"connections":[187],"may":[189],"be":[190],"neglected":[191],"due":[192],"their":[194],"low":[195],"strength":[196],"previous":[198],"models.":[201],"Additional":[202],"reveal":[204],"not":[209],"only":[210],"addresses":[211],"challenge":[213],"limited":[215],"labeled":[216],"but":[218],"also":[219],"significantly":[220],"enhances":[221],"accuracy,":[222],"affirming":[223],"approach":[228],"advancing":[230],"analysis.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}