{"id":"https://openalex.org/W4411923427","doi":"https://doi.org/10.1007/s10462-025-11301-y","title":"Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion","display_name":"Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4411923427","doi":"https://doi.org/10.1007/s10462-025-11301-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11301-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11301-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11301-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11301-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058936549","display_name":"Guowen Peng","orcid":"https://orcid.org/0000-0002-0961-4370"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Guowen Peng","raw_affiliation_strings":["University of the Basque Country, San Sebastian, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Basque Country, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081042741","display_name":"Fadi Dornaika","orcid":"https://orcid.org/0000-0001-6581-9680"},"institutions":[{"id":"https://openalex.org/I110594554","display_name":"Ikerbasque","ror":"https://ror.org/01cc3fy72","country_code":"ES","type":"other","lineage":["https://openalex.org/I110594554"]},{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Fadi Dornaika","raw_affiliation_strings":["IKERBASQUE, Basque Foundation for Science, Bilbao, Spain","University of the Basque Country, San Sebastian, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IKERBASQUE, Basque Foundation for Science, Bilbao, Spain","institution_ids":["https://openalex.org/I110594554"]},{"raw_affiliation_string":"University of the Basque Country, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033588259","display_name":"Jinan Charafeddine","orcid":"https://orcid.org/0000-0001-7732-3578"},"institutions":[{"id":"https://openalex.org/I4210123827","display_name":"Vinci (France)","ror":"https://ror.org/03e278q38","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210123827"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jinan Charafeddine","raw_affiliation_strings":["De Vinci Higher Education, De Vinci Research Center, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De Vinci Higher Education, De Vinci Research Center, Paris, France","institution_ids":["https://openalex.org/I4210123827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081042741"],"corresponding_institution_ids":["https://openalex.org/I110594554","https://openalex.org/I169108374"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":1.0916,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76899431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"58","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7735613584518433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425047278404236},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5096895694732666},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46065518260002136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44838380813598633},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44228994846343994},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4172740578651428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4044474959373474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3317334055900574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735613584518433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425047278404236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5096895694732666},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46065518260002136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44838380813598633},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44228994846343994},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4172740578651428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4044474959373474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3317334055900574},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11301-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11301-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11301-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11301-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11301-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11301-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1622782223","display_name":null,"funder_award_id":"MCIN/AEI/10","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4668838594","display_name":null,"funder_award_id":"PID2021-126701OB-I00","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5992535680","display_name":null,"funder_award_id":"GIU23/022","funder_id":"https://openalex.org/F4320321919","funder_display_name":"Euskal Herriko Unibertsitatea"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7191199637","display_name":null,"funder_award_id":"GIU23/022","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320321919","display_name":"Euskal Herriko Unibertsitatea","ror":"https://ror.org/000xsnr85"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411923427.pdf","grobid_xml":"https://content.openalex.org/works/W4411923427.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2466795","https://openalex.org/W98731650","https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W343139615","https://openalex.org/W1602992698","https://openalex.org/W1907775068","https://openalex.org/W1953764758","https://openalex.org/W2010466709","https://openalex.org/W2048679005","https://openalex.org/W2090101874","https://openalex.org/W2094919853","https://openalex.org/W2098711149","https://openalex.org/W2158498053","https://openalex.org/W2181159407","https://openalex.org/W2197707282","https://openalex.org/W2202025056","https://openalex.org/W2231757023","https://openalex.org/W2270614106","https://openalex.org/W2301166038","https://openalex.org/W2399260173","https://openalex.org/W2406769439","https://openalex.org/W2587115404","https://openalex.org/W3161615291","https://openalex.org/W3211757366","https://openalex.org/W4229053256","https://openalex.org/W4309719954","https://openalex.org/W4321113904","https://openalex.org/W4360770799","https://openalex.org/W4372266980","https://openalex.org/W4385973538","https://openalex.org/W4386494629","https://openalex.org/W4389346842","https://openalex.org/W4392203343","https://openalex.org/W4392543743","https://openalex.org/W4393156830","https://openalex.org/W4398192374","https://openalex.org/W4399422630","https://openalex.org/W4399768823","https://openalex.org/W4400910463","https://openalex.org/W4402127175","https://openalex.org/W4403791834","https://openalex.org/W4405863024","https://openalex.org/W4409364502"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W3048601286","https://openalex.org/W4289536128","https://openalex.org/W2965925734","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"Abstract":[0],"Multi-view":[1],"data":[2,36],"significantly":[3],"enhances":[4],"the":[5,24,57,61,76,120,124],"accuracy":[6],"of":[7,16,26,47,88],"machine":[8],"learning":[9,74],"algorithms":[10],"by":[11],"providing":[12],"a":[13,52,71],"comprehensive":[14],"representation":[15],"object":[17],"features.":[18],"Despite":[19],"their":[20],"potential,":[21],"research":[22],"on":[23,44,129,144],"use":[25],"Graph":[27],"Convolutional":[28],"Networks":[29],"(GCNs)":[30],"for":[31,113],"processing":[32],"node":[33],"connectivity":[34],"and":[35,79,99,116,123],"features":[37,102],"remains":[38],"limited.":[39],"Existing":[40],"methods":[41],"mainly":[42],"focus":[43],"weighted":[45],"summation":[46],"graph":[48,62,121],"matrices,":[49],"with":[50],"only":[51],"few":[53],"approaches":[54],"effectively":[55],"integrating":[56],"feature":[58],"information":[59],"into":[60],"structures.":[63],"To":[64],"overcome":[65],"these":[66],"limitations,":[67],"this":[68],"paper":[69],"proposes":[70],"novel":[72],"deep":[73],"architecture:":[75],"Feature":[77,92],"Fusion":[78,81,93,107],"Multi-Graph":[80,106],"Learning":[82],"Framework":[83],"(MGCN-FN).":[84],"The":[85],"framework":[86],"consists":[87],"two":[89],"core":[90],"modules:":[91],"Network":[94,108],"(FFN):":[95],"Designed":[96],"to":[97,140],"extract":[98],"consolidate":[100],"key":[101],"from":[103],"multiple":[104,111],"views.":[105],"(MGFN):":[109],"Constructs":[110],"graphs":[112],"each":[114],"view":[115],"jointly":[117],"optimizes":[118],"both":[119],"weights":[122],"GCN":[125],"model.":[126],"Extensive":[127],"experiments":[128],"various":[130],"multi-view":[131,146],"datasets":[132],"show":[133],"that":[134],"MGCN-FN":[135],"achieves":[136],"superior":[137],"performance":[138],"compared":[139],"state-of-the-art":[141],"methods,":[142],"especially":[143],"semi-supervised":[145],"classification":[147],"tasks.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}