{"id":"https://openalex.org/W4404238471","doi":"https://doi.org/10.1109/tcss.2024.3488201","title":"Ugan: Uncertainty-Guided Graph Augmentation Network for EEG Emotion Recognition","display_name":"Ugan: Uncertainty-Guided Graph Augmentation Network for EEG Emotion Recognition","publication_year":2024,"publication_date":"2024-11-11","ids":{"openalex":"https://openalex.org/W4404238471","doi":"https://doi.org/10.1109/tcss.2024.3488201"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3488201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3488201","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5103151033","display_name":"Bianna Chen","orcid":"https://orcid.org/0009-0007-5646-3230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bianna Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103151033"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":4.6884,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95622371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"695","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991000294685364,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991000294685364,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6935234069824219},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5641775131225586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324965715408325},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47729432582855225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674927294254303},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4452744126319885},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4277377426624298},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42510032653808594},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3144605755805969},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22411435842514038},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2107226848602295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19307470321655273},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0828653872013092}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6935234069824219},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5641775131225586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324965715408325},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47729432582855225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674927294254303},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4452744126319885},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4277377426624298},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42510032653808594},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3144605755805969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22411435842514038},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2107226848602295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19307470321655273},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0828653872013092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3488201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3488201","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1947251450","https://openalex.org/W2105920890","https://openalex.org/W2115403315","https://openalex.org/W2613375858","https://openalex.org/W2625929003","https://openalex.org/W2741907166","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2900672720","https://openalex.org/W2903959724","https://openalex.org/W2911220936","https://openalex.org/W2911336608","https://openalex.org/W2960600329","https://openalex.org/W2970007912","https://openalex.org/W2997025969","https://openalex.org/W3024961463","https://openalex.org/W3119486842","https://openalex.org/W3133817364","https://openalex.org/W3134204148","https://openalex.org/W3159301005","https://openalex.org/W3168716205","https://openalex.org/W3169534597","https://openalex.org/W3177206657","https://openalex.org/W3183340146","https://openalex.org/W3183864931","https://openalex.org/W3197261948","https://openalex.org/W3207856632","https://openalex.org/W4200006449","https://openalex.org/W4200495630","https://openalex.org/W4210466371","https://openalex.org/W4224981339","https://openalex.org/W4225411558","https://openalex.org/W4225737951","https://openalex.org/W4285175183","https://openalex.org/W4289639938","https://openalex.org/W4297965062","https://openalex.org/W4363679399","https://openalex.org/W4367840164","https://openalex.org/W4375953228","https://openalex.org/W4385453586","https://openalex.org/W4386232720","https://openalex.org/W4390577863","https://openalex.org/W4392309135","https://openalex.org/W4393147691","https://openalex.org/W4399555970","https://openalex.org/W4400975551","https://openalex.org/W6633949838","https://openalex.org/W6637178625","https://openalex.org/W6726873649","https://openalex.org/W6732468801","https://openalex.org/W6733814495","https://openalex.org/W6755201857","https://openalex.org/W6760045743","https://openalex.org/W6810790459"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"The":[0],"underlying":[1],"time-variant":[2],"and":[3,15,40,79,99,112,140,161,176,205],"subject-specific":[4],"brain":[5],"dynamics":[6],"lead":[7],"to":[8,48,69,95,128,153,171,183,214],"statistical":[9,36,83,107,185],"uncertainty":[10],"in":[11,38,44],"electroencephalogram":[12],"(EEG)":[13],"representations":[14,39],"connectivities":[16,98],"under":[17],"diverse":[18,117],"individual":[19],"biases.":[20],"Current":[21],"works":[22],"primarily":[23],"augment":[24,96],"statisticallike":[25],"EEG":[26,71,102,114,192,201],"data":[27],"based":[28],"on":[29,189],"deterministic":[30],"modes":[31],"without":[32],"comprehensively":[33,77],"considering":[34],"uncertain":[35,82,125,184],"discrepancies":[37],"connectivities.":[41],"This":[42,60],"results":[43],"insufficient":[45],"domain":[46,51,106,118,126,174],"diversity":[47],"cover":[49],"more":[50],"variations":[52],"for":[53],"a":[54,146,165],"generalized":[55],"model":[56,121,181],"independent":[57],"of":[58,101,211],"individuals.":[59,86],"article":[61],"proposes":[62],"an":[63,88],"uncertainty-guided":[64,89],"graph":[65,90,103,115,147],"augmentation":[66,91],"network":[67],"(Ugan)":[68],"generalize":[70],"emotion":[72,193,200],"recognition":[73],"across":[74,85],"subjects":[75],"by":[76,104],"mimicking":[78],"constraining":[80],"the":[81,110,120,124,159,180,208,215],"shifts":[84,127],"Specifically,":[87],"module":[92,150,168],"is":[93,151,169],"employed":[94],"both":[97],"features":[100],"manipulating":[105],"characteristics.":[108],"With":[109],"original":[111,160],"augmented":[113,162],"covering":[116],"variations,":[119],"can":[122],"mimic":[123],"achieve":[129],"better":[130],"generalizability":[131,210],"against":[132],"potential":[133],"subject":[134],"variability.":[135],"To":[136],"extract":[137],"discriminative":[138],"characteristics":[139],"preserve":[141],"emotional":[142],"semantics":[143],"after":[144],"augmentation,":[145],"coteaching":[148,155,166],"learning":[149,157],"designed":[152],"facilitate":[154],"knowledge":[156],"between":[158],"views.":[163],"Moreover,":[164],"regularization":[167],"developed":[170],"constrain":[172],"semantic":[173],"invariance":[175],"consistency,":[177],"thereby":[178],"rendering":[179],"invariant":[182],"shifts.":[186],"Extensive":[187],"experiments":[188],"three":[190],"public":[191],"datasets,":[194],"i.e.,":[195],"Shanghai":[196],"Jiao":[197],"Tong":[198],"University":[199],"dataset":[202],"(SEED),":[203],"SEED-IV,":[204],"SEED-V,":[206],"validate":[207],"superior":[209],"Ugan":[212],"compared":[213],"state-of-the-art":[216],"methods.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
