{"id":"https://openalex.org/W4367665451","doi":"https://doi.org/10.1109/access.2023.3271730","title":"A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning","display_name":"A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367665451","doi":"https://doi.org/10.1109/access.2023.3271730"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3271730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3271730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10113221.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10113221.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101743529","display_name":"Jiazheng Yuan","orcid":"https://orcid.org/0000-0002-6579-2286"},"institutions":[{"id":"https://openalex.org/I4210138083","display_name":"Beijing Open University","ror":"https://ror.org/04pq2gg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazheng Yuan","raw_affiliation_strings":["College of Science and Technology, Beijing Open University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6579-2286","affiliations":[{"raw_affiliation_string":"College of Science and Technology, Beijing Open University, Beijing, China","institution_ids":["https://openalex.org/I4210138083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431805","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-4241-4602"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080192610","display_name":"Zhibin Gu","orcid":"https://orcid.org/0000-0002-1085-9084"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Gu","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085406955","display_name":"Songhe Feng","orcid":"https://orcid.org/0000-0002-5922-9358"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhe Feng","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5922-9358","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6345,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71964922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"49205","last_page":"49215"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9664999842643738,"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":0.7436253428459167},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46464109420776367},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4283849596977234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.384243369102478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436253428459167},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46464109420776367},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4283849596977234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.384243369102478}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3271730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3271730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10113221.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e1b06b1d73cf44988c5e720c292880c0","is_oa":true,"landing_page_url":"https://doaj.org/article/e1b06b1d73cf44988c5e720c292880c0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 49205-49215 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3271730","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3271730","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10113221.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3124686038","display_name":null,"funder_award_id":"2022YJS024","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4690401891","display_name":"\u9762\u5411\u89c6\u9891\u5927\u6570\u636e\u7684\u4eba\u4f53\u884c\u4e3a\u7406\u89e3\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61871028","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367665451.pdf","grobid_xml":"https://content.openalex.org/works/W4367665451.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1565746575","https://openalex.org/W1666447063","https://openalex.org/W1907775068","https://openalex.org/W2029517229","https://openalex.org/W2037227137","https://openalex.org/W2048679005","https://openalex.org/W2103972604","https://openalex.org/W2118712128","https://openalex.org/W2165766797","https://openalex.org/W2199534117","https://openalex.org/W2319358180","https://openalex.org/W2590019597","https://openalex.org/W2604983939","https://openalex.org/W2788462285","https://openalex.org/W2802345189","https://openalex.org/W2895210058","https://openalex.org/W2898233200","https://openalex.org/W2898541610","https://openalex.org/W2904398352","https://openalex.org/W2905563251","https://openalex.org/W2907230706","https://openalex.org/W2921065608","https://openalex.org/W2964782060","https://openalex.org/W2990720125","https://openalex.org/W2996837177","https://openalex.org/W2998358581","https://openalex.org/W3007380221","https://openalex.org/W3015362220","https://openalex.org/W3034894624","https://openalex.org/W3080113507","https://openalex.org/W3081124444","https://openalex.org/W3087348787","https://openalex.org/W3106585455","https://openalex.org/W4307380435","https://openalex.org/W4315630330","https://openalex.org/W4315926876","https://openalex.org/W6677758222","https://openalex.org/W6683944004"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multi-view":[0,57],"partial":[1],"multi-label":[2,74,167],"learning":[3,77,96],"(MVPML)":[4],"is":[5,12,32,129,140,170],"a":[6,54,79,106,132,158],"fundenmental":[7],"problem":[8,29],"where":[9,126],"each":[10],"sample":[11],"linked":[13],"to":[14,34,135,156],"multiple":[15,37,93,103],"kinds":[16],"of":[17,30,153,175],"features":[18,38],"and":[19,24,39,73,101,122],"candidate":[20,45],"labels,":[21],"including":[22],"ground-truth":[23,42,120,161,176],"noise":[25,124],"labels.":[26],"The":[27],"key":[28],"MVPML":[31],"how":[33],"manipulate":[35],"the":[36,41,66,89,97,112,119,123,127,138,145,151,165,173,188,195],"recover":[40],"labels":[43],"from":[44],"label":[46,71,114,154,162,177],"set.":[47],"To":[48,83],"this":[49,51],"end,":[50],"study":[52],"designs":[53],"novel":[55],"Graph-based":[56],"Partial":[58],"Multi-label":[59],"model":[60,76,169],"named":[61],"as":[62],"GMPM,":[63],"which":[64],"combines":[65],"multi-view":[67],"information":[68,91],"detection,":[69],"valuable":[70],"selection":[72],"predictor":[75],"into":[78,105,116,150],"unified":[80,147],"optimization":[81],"model.":[82],"be":[84],"specific,":[85],"GMPM":[86,190],"first":[87],"exploits":[88],"consensus":[90],"across":[92],"views":[94],"by":[95],"view-specific":[98],"similarity":[99,148],"graph":[100,149],"fuses":[102],"graphs":[104],"target":[107],"one.":[108],"Then,":[109],"we":[110,143],"divide":[111],"observed":[113],"set":[115],"two":[117],"parts:":[118],"part":[121],"part,":[125],"latter":[128],"associated":[130],"with":[131,172],"sparse":[133],"constraint":[134],"make":[136],"sure":[137],"former":[139],"clean.":[141],"Furthermore,":[142],"embed":[144],"learned":[146,171],"process":[152],"disambiguation":[155],"restore":[157],"more":[159],"reliable":[160],"matrix.":[163,178],"Finally,":[164],"resulting":[166],"predictive":[168],"help":[174],"Extensive":[179],"experiments":[180],"on":[181],"six":[182],"common":[183],"used":[184],"datasets":[185],"demonstrate":[186],"that":[187],"proposed":[189],"achieves":[191],"comparable":[192],"performance":[193],"over":[194],"state-of-the-arts.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
