{"id":"https://openalex.org/W4400975551","doi":"https://doi.org/10.1109/taffc.2024.3433613","title":"Grop: Graph Orthogonal Purification Network for EEG Emotion Recognition","display_name":"Grop: Graph Orthogonal Purification Network for EEG Emotion Recognition","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400975551","doi":"https://doi.org/10.1109/taffc.2024.3433613"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2024.3433613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3433613","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","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/A5113304241","display_name":"Mengqi Wu","orcid":"https://orcid.org/0000-0002-6538-619X"},"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":"Mengqi Wu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, the 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, the 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, the 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, the 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/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":false,"raw_author_name":"Bianna Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of AI Large Model and Intelligent Cognition, the 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, the 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, the 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, the 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":4,"corresponding_author_ids":["https://openalex.org/A5113304241"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":13.7746,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.99186091,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"319","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9988999962806702,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9912999868392944,"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/emotion-recognition","display_name":"Emotion recognition","score":0.6759963035583496},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.658926248550415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5053775906562805},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47346678376197815},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4265243113040924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41322553157806396},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39893755316734314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3901985287666321},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.36555975675582886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23662596940994263},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15062204003334045}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6759963035583496},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.658926248550415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5053775906562805},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47346678376197815},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4265243113040924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41322553157806396},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39893755316734314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3901985287666321},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36555975675582886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23662596940994263},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15062204003334045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2024.3433613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2024.3433613","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1552007786","https://openalex.org/W1565327149","https://openalex.org/W1596717185","https://openalex.org/W1947251450","https://openalex.org/W2101972387","https://openalex.org/W2104068492","https://openalex.org/W2105920890","https://openalex.org/W2115403315","https://openalex.org/W2186437392","https://openalex.org/W2537229885","https://openalex.org/W2542768043","https://openalex.org/W2624419954","https://openalex.org/W2790170883","https://openalex.org/W2790404832","https://openalex.org/W2808223797","https://openalex.org/W2889782437","https://openalex.org/W2900672720","https://openalex.org/W2903959724","https://openalex.org/W2911220936","https://openalex.org/W2926366943","https://openalex.org/W2950162539","https://openalex.org/W2964015378","https://openalex.org/W2964288524","https://openalex.org/W2970007912","https://openalex.org/W2970408855","https://openalex.org/W2997025969","https://openalex.org/W3014163061","https://openalex.org/W3019352575","https://openalex.org/W3024961463","https://openalex.org/W3033046106","https://openalex.org/W3134204148","https://openalex.org/W3139270985","https://openalex.org/W3142958216","https://openalex.org/W3152893301","https://openalex.org/W3164305153","https://openalex.org/W3183340146","https://openalex.org/W3207722267","https://openalex.org/W3211845866","https://openalex.org/W4200062528","https://openalex.org/W4210466371","https://openalex.org/W4224981339","https://openalex.org/W4225411558","https://openalex.org/W4285247923","https://openalex.org/W4293812372","https://openalex.org/W4297733595","https://openalex.org/W4297965062","https://openalex.org/W4312565043","https://openalex.org/W4313060220","https://openalex.org/W4375953228","https://openalex.org/W4386075879","https://openalex.org/W4390577863","https://openalex.org/W4390971183","https://openalex.org/W4392309135","https://openalex.org/W6633949838","https://openalex.org/W6638024071","https://openalex.org/W6639480849","https://openalex.org/W6676663998","https://openalex.org/W6726873649","https://openalex.org/W6754131571"],"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":[0,94,151],"existence":[1],"of":[2,11,18,28,40,133,159],"emotion-irrelevant":[3,71,88],"representations":[4],"and":[5,45,66,70,87,108,149,167,171],"individual":[6,59],"variability":[7],"impedes":[8],"the":[9,16,26,38,64,74,91,112,131,134,157,160,169],"extraction":[10,39,81],"robust":[12,164],"emotional":[13,114],"representations,":[14],"limiting":[15],"adaptability":[17,60],"EEG":[19,144],"emotion":[20,126,145,165],"recognition.":[21],"Massive":[22],"studies":[23],"focus":[24],"on":[25,141],"mining":[27],"emotion-aware":[29],"information,":[30,33],"overlooking":[31],"emotion-agnostic":[32],"which":[34],"is":[35,55,99,118],"insufficient":[36],"for":[37],"emotion-relevant":[41,69,86],"features":[42,89,166],"against":[43],"redundancy":[44],"variation.":[46],"In":[47],"this":[48],"paper,":[49],"Graph":[50],"Orthogonal":[51],"Purification":[52],"Network":[53],"(Grop)":[54],"proposed":[56,75,135],"to":[57,83,101,120,162],"enhance":[58],"through":[61,105],"improvements":[62],"in":[63,124],"orthogonality":[65],"transferability":[67],"between":[68],"features.":[72],"Specifically,":[73],"Grop":[76,161],"utilized":[77],"a":[78],"graph":[79],"representation":[80,95],"module":[82,98,117],"capture":[84,163],"both":[85],"by":[90],"dual":[92,113],"graph.":[93],"orthogonal":[96],"purification":[97],"developed":[100],"eliminate":[102],"redundant":[103],"information":[104],"feature":[106,109,127],"projection":[107],"purification.":[110],"Moreover,":[111],"space":[115],"alignment":[116],"imposed":[119],"align":[121],"distribution":[122],"discrepancies":[123],"different":[125],"spaces.":[128],"To":[129],"assess":[130],"effectiveness":[132],"Grop,":[136],"various":[137],"experiments":[138],"are":[139],"conducted":[140],"two":[142],"public":[143],"datasets,":[146],"i.e.,":[147],"SEED":[148],"SEED-IV.":[150],"results":[152],"achieve":[153],"state-of-the-art":[154],"performance,":[155],"demonstrating":[156],"capability":[158],"alleviate":[168],"intra-":[170],"inter-subject":[172],"discrepancies.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}