{"id":"https://openalex.org/W4411635689","doi":"https://doi.org/10.1145/3731715.3733353","title":"Heterogeneous Graph Embedding for Multimodal Multi-Label Emotion Recognition","display_name":"Heterogeneous Graph Embedding for Multimodal Multi-Label Emotion Recognition","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411635689","doi":"https://doi.org/10.1145/3731715.3733353"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-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/A5047334751","display_name":"Disen Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Disen Hu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0007-6251-5375","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786662","display_name":"Xun Jiang","orcid":"https://orcid.org/0000-0003-2209-651X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2209-651X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025554387","display_name":"Zhe Sun","orcid":"https://orcid.org/0000-0002-6531-0769"},"institutions":[{"id":"https://openalex.org/I34077901","display_name":"Juntendo University","ror":"https://ror.org/01692sz90","country_code":"JP","type":"education","lineage":["https://openalex.org/I34077901"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhe Sun","raw_affiliation_strings":["Health Data Science, Juntendo University, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6531-0769","affiliations":[{"raw_affiliation_string":"Health Data Science, Juntendo University, Tokyo, Japan","institution_ids":["https://openalex.org/I34077901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Shen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7303-3231","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009074046","display_name":"Xing Xu","orcid":"https://orcid.org/0000-0001-5685-3123"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China and School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5685-3123","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China and School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047334751"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89081875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"460","last_page":"468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7320412397384644},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6292970776557922},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.45681843161582947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37540388107299805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35801541805267334},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33299487829208374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7320412397384644},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6292970776557922},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.45681843161582947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37540388107299805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35801541805267334},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33299487829208374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6043837729","display_name":null,"funder_award_id":"62222203; 62476201; 62306065","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2114315281","https://openalex.org/W2997124596","https://openalex.org/W2997573100","https://openalex.org/W3019023591","https://openalex.org/W3080565611","https://openalex.org/W3093051361","https://openalex.org/W3093434718","https://openalex.org/W3102187622","https://openalex.org/W3133128010","https://openalex.org/W3174906557","https://openalex.org/W3176028309","https://openalex.org/W3205519684","https://openalex.org/W3205749498","https://openalex.org/W3207092597","https://openalex.org/W4221149740","https://openalex.org/W4221163935","https://openalex.org/W4229024390","https://openalex.org/W4292218488","https://openalex.org/W4306914171","https://openalex.org/W4313639237","https://openalex.org/W4367046733","https://openalex.org/W4367047524","https://openalex.org/W4376455521","https://openalex.org/W4380355289","https://openalex.org/W4382239691","https://openalex.org/W4386075879","https://openalex.org/W4387968586","https://openalex.org/W4387968686","https://openalex.org/W4388193218","https://openalex.org/W4390874359","https://openalex.org/W4391835412","https://openalex.org/W4392903091","https://openalex.org/W4393148792","https://openalex.org/W4393156571","https://openalex.org/W4393161100","https://openalex.org/W4399039133","https://openalex.org/W4403791468","https://openalex.org/W4403863334","https://openalex.org/W4405717837","https://openalex.org/W6677222910","https://openalex.org/W6797613833"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Multimodal":[0],"Multi-label":[1],"Emotion":[2],"Recognition":[3],"(MMER)":[4],"aims":[5],"to":[6,21,42,64,101,134],"identify":[7],"human":[8],"emotions":[9],"through":[10],"various":[11],"modalities.":[12,118],"Previous":[13],"studies":[14],"mainly":[15],"focus":[16],"on":[17,149],"aligning":[18],"cross-modal":[19,114],"data":[20,137],"extract":[22,102],"discriminative":[23],"emotion-dependent":[24],"features":[25],"using":[26],"attention":[27],"or":[28],"reconstruction-based":[29],"strategies,":[30],"while":[31],"omitting":[32],"the":[33,36,43,49,54,60,66,94,106,130],"fact":[34],"that":[35,46,142],"MMER":[37,95],"task":[38],"is":[39],"also":[40,62,121],"subjected":[41],"multi-label":[44,50,126,133,154],"noises":[45],"exist":[47],"in":[48,78,105],"classifications,":[51],"which":[52,97],"disturb":[53],"modality-to-label":[55],"correlations.":[56],"Besides,":[57],"most":[58],"of":[59,68,76,132],"research":[61],"failed":[63],"balance":[65],"strategy":[67],"finding":[69],"internal":[70],"label":[71,74],"correlations":[72,115],"and":[73,108,111,128,161],"dependency":[75],"modalities":[77],"noisy":[79,162],"conditions.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"proposed":[85],"a":[86],"novel":[87],"Heterogeneous":[88],"Graph":[89],"Embedding":[90],"(HGE)":[91],"method":[92,145],"for":[93],"task,":[96],"exploits":[98],"heterogeneous":[99,117],"graphs":[100],"emotional":[103],"commonality":[104],"modal":[107],"temporal":[109],"levels,":[110],"explicitly":[112],"models":[113],"among":[116],"Additionally,":[119],"it":[120],"captures":[122],"uncertainty":[123],"brought":[124],"by":[125],"noise":[127],"leverages":[129],"unevenness":[131],"overcome":[135],"potential":[136],"issues.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"our":[143],"HGE":[144],"achieves":[146],"state-of-the-art":[147],"performance":[148],"two":[150],"widely":[151],"used":[152],"multimodal":[153],"emotion":[155],"recognition":[156],"datasets":[157],"under":[158],"both":[159],"noise-free":[160],"circumstances.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}