{"id":"https://openalex.org/W4410428697","doi":"https://doi.org/10.1109/taffc.2025.3568519","title":"Contextual Graph Reconstruction and Emotional Variation Learning for Conversational Emotion Recognition","display_name":"Contextual Graph Reconstruction and Emotional Variation Learning for Conversational Emotion Recognition","publication_year":2025,"publication_date":"2025-05-16","ids":{"openalex":"https://openalex.org/W4410428697","doi":"https://doi.org/10.1109/taffc.2025.3568519"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2025.3568519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3568519","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/A5026686741","display_name":"Yujing Rao","orcid":"https://orcid.org/0000-0003-0007-853X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yujing Rao","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111346891","display_name":"Min Cao","orcid":"https://orcid.org/0000-0002-6628-0370"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Cao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6628-0370","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Ye","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3989-7655","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026686741"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":5.5578,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95104383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"3067","last_page":"3080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8571000099182129,"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":0.8571000099182129,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7692000269889832,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.7250806093215942},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6067820191383362},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.55809485912323},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.47771263122558594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46505579352378845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43545931577682495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39844006299972534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3443872630596161},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33348754048347473},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11658820509910583}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.7250806093215942},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6067820191383362},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.55809485912323},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.47771263122558594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46505579352378845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43545931577682495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39844006299972534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3443872630596161},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33348754048347473},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11658820509910583},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2025.3568519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3568519","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":[],"awards":[{"id":"https://openalex.org/G2068814885","display_name":null,"funder_award_id":"62361166629","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6781587187","display_name":null,"funder_award_id":"62476188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8800375656","display_name":null,"funder_award_id":"62176188","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":50,"referenced_works":["https://openalex.org/W2068124150","https://openalex.org/W2110798204","https://openalex.org/W2146334809","https://openalex.org/W2741295496","https://openalex.org/W2963686995","https://openalex.org/W2964300796","https://openalex.org/W2996849360","https://openalex.org/W3012721484","https://openalex.org/W3038471032","https://openalex.org/W3092364816","https://openalex.org/W3096655658","https://openalex.org/W3120680448","https://openalex.org/W3156576211","https://openalex.org/W3156669407","https://openalex.org/W3169978599","https://openalex.org/W3175825020","https://openalex.org/W3179950556","https://openalex.org/W3184236853","https://openalex.org/W3200135021","https://openalex.org/W4224287408","https://openalex.org/W4249992252","https://openalex.org/W4281701185","https://openalex.org/W4287887917","https://openalex.org/W4290713716","https://openalex.org/W4306250392","https://openalex.org/W4312976151","https://openalex.org/W4313639237","https://openalex.org/W4323275634","https://openalex.org/W4360595168","https://openalex.org/W4366818596","https://openalex.org/W4367057034","https://openalex.org/W4372260527","https://openalex.org/W4381730753","https://openalex.org/W4385567578","https://openalex.org/W4386076442","https://openalex.org/W4386826611","https://openalex.org/W4387968266","https://openalex.org/W4390064441","https://openalex.org/W4390414889","https://openalex.org/W4391454424","https://openalex.org/W4391849148","https://openalex.org/W4392405713","https://openalex.org/W4392903647","https://openalex.org/W4397007529","https://openalex.org/W4399267889","https://openalex.org/W4401016710","https://openalex.org/W4401687226","https://openalex.org/W4403947066","https://openalex.org/W4413146025","https://openalex.org/W4413146243"],"related_works":["https://openalex.org/W2386430105","https://openalex.org/W2356521405","https://openalex.org/W2038534795","https://openalex.org/W2384358604","https://openalex.org/W1567829292","https://openalex.org/W3001063351","https://openalex.org/W3196905815","https://openalex.org/W2351370765","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Conversational":[0],"Emotion":[1],"Recognition":[2],"(CER)":[3],"significantly":[4],"benefits":[5],"from":[6],"the":[7,116,149,172],"integration":[8],"of":[9,71,118,151,186],"multiple":[10],"modalities.":[11,188],"However,":[12],"real-world":[13],"scenarios":[14],"are":[15,64],"often":[16],"plagued":[17],"by":[18],"hardware":[19],"malfunctions":[20],"and":[21,29,56,67,87,106,136,158,167,174],"network":[22,131],"failures":[23],"that":[24,164,178],"lead":[25],"to":[26,44,132,142,154],"missing":[27,46,119,134],"modalities":[28],"incomplete":[30,187],"emotional":[31,58,62,144,152],"representations.":[32],"Existing":[33],"methods":[34],"primarily":[35],"focus":[36],"on":[37,103,171],"modeling":[38,70],"inter-modal":[39],"relationships":[40],"within":[41],"isolated":[42],"utterances":[43],"generate":[45],"data,":[47],"so":[48],"they":[49],"do":[50],"not":[51],"adequately":[52],"capture":[53],"conversational":[54],"context":[55],"dynamic":[57],"evolution.":[59],"In":[60],"conversations,":[61],"expressions":[63],"inherently":[65],"context-dependent":[66],"dynamic.":[68],"Insufficient":[69],"these":[72,80],"properties":[73],"can":[74],"substantially":[75],"degrade":[76],"performance.":[77],"To":[78,114],"address":[79],"challenges,":[81],"we":[82,121,147],"propose":[83,148],"Contextual":[84],"Graph":[85],"Reconstruction":[86],"Emotional":[88],"Variation":[89],"Learning":[90],"(CGR-EVL).":[91],"Our":[92],"approach":[93],"flexibly":[94],"constructs":[95],"an":[96],"utterance":[97],"graph":[98,129],"with":[99],"diverse":[100],"coverage":[101],"based":[102],"speaker":[104,139],"activity":[105],"modality":[107],"availability,":[108],"thereby":[109],"capturing":[110],"more":[111],"contextual":[112],"information.":[113],"enhance":[115],"handling":[117],"modalities,":[120],"further":[122],"integrate":[123],"temporal":[124],"relations":[125],"through":[126],"a":[127,138,160],"relational":[128],"convolutional":[130],"reconstruct":[133],"features":[135],"introduce":[137],"emotion-aware":[140],"constraint":[141],"ensure":[143],"coherence.":[145],"Additionally,":[146],"concept":[150],"entropy":[153],"quantify":[155],"variation":[156],"patterns":[157],"develop":[159],"novel":[161],"loss":[162],"function":[163],"aligns":[165],"predicted":[166],"actual":[168],"variations.":[169],"Experiments":[170],"IEMOCAP":[173],"MELD":[175],"datasets":[176],"show":[177],"CGR-EVL":[179],"outperforms":[180],"state-of-the-art":[181],"methods,":[182],"particularly":[183],"under":[184],"conditions":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-28T02:08:47.144824","created_date":"2025-10-10T00:00:00"}
