{"id":"https://openalex.org/W3010501594","doi":"https://doi.org/10.1109/tkde.2020.2978844","title":"Fast Multi-View Semi-Supervised Learning With Learned Graph","display_name":"Fast Multi-View Semi-Supervised Learning With Learned Graph","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010501594","doi":"https://doi.org/10.1109/tkde.2020.2978844","mag":"3010501594"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2978844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2978844","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5101775575","display_name":"Bin Zhang","orcid":"https://orcid.org/0000-0002-4936-0061"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhang","raw_affiliation_strings":["School of Software, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4936-0061","affiliations":[{"raw_affiliation_string":"School of Software, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031881355","display_name":"Qianyao Qiang","orcid":"https://orcid.org/0000-0001-7990-2784"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyao Qiang","raw_affiliation_strings":["School of Software, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7990-2784","affiliations":[{"raw_affiliation_string":"School of Software, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0871-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":3.7994,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.94210846,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"286","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940999746322632,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.811105489730835},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.584520161151886},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5803346037864685},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5084754228591919},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47912856936454773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4703424572944641},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43901583552360535},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4257504940032959},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2801034450531006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811105489730835},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.584520161151886},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5803346037864685},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5084754228591919},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47912856936454773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4703424572944641},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43901583552360535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4257504940032959},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2801034450531006}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2978844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2978844","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1537487564","display_name":"\u7ed3\u6784\u5316\u56fe\u5b66\u4e60\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772427","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4837339684","display_name":null,"funder_award_id":"61603291","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G653700208","display_name":null,"funder_award_id":"61751202","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":51,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1585433513","https://openalex.org/W1669104078","https://openalex.org/W1869398109","https://openalex.org/W1969198379","https://openalex.org/W1985583020","https://openalex.org/W1998912926","https://openalex.org/W2007477772","https://openalex.org/W2007972815","https://openalex.org/W2048679005","https://openalex.org/W2049993534","https://openalex.org/W2057624533","https://openalex.org/W2085348055","https://openalex.org/W2089609272","https://openalex.org/W2099749431","https://openalex.org/W2112796928","https://openalex.org/W2128767139","https://openalex.org/W2130623086","https://openalex.org/W2133576408","https://openalex.org/W2139395976","https://openalex.org/W2143667634","https://openalex.org/W2166049352","https://openalex.org/W2319358180","https://openalex.org/W2345837149","https://openalex.org/W2414996405","https://openalex.org/W2416305358","https://openalex.org/W2573426660","https://openalex.org/W2577472518","https://openalex.org/W2590019597","https://openalex.org/W2594524198","https://openalex.org/W2598052950","https://openalex.org/W2604983939","https://openalex.org/W2672266311","https://openalex.org/W2758611985","https://openalex.org/W2788125892","https://openalex.org/W2792423073","https://openalex.org/W2897327263","https://openalex.org/W2909545851","https://openalex.org/W2963560814","https://openalex.org/W3100063120","https://openalex.org/W3120740533","https://openalex.org/W6602569864","https://openalex.org/W6629858893","https://openalex.org/W6679546315","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6714133674","https://openalex.org/W6731811539","https://openalex.org/W6743484365","https://openalex.org/W6775638715","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W3210156800","https://openalex.org/W2295628041","https://openalex.org/W3162567751","https://openalex.org/W4285260836","https://openalex.org/W4319309271","https://openalex.org/W4306321456","https://openalex.org/W4226172683","https://openalex.org/W3196155444","https://openalex.org/W4249546094","https://openalex.org/W2981850339"],"abstract_inverted_index":{"Multi-view":[0],"semi-supervised":[1,61],"learning":[2,62],"(SSL)":[3],"has":[4],"attracted":[5],"great":[6],"attention":[7],"due":[8],"to":[9,23,43,63,118,141,172],"its":[10],"effectiveness":[11,186],"in":[12],"information":[13,39],"utilization":[14],"of":[15,37,115,137,189],"multiple":[16,116],"views":[17,42,117],"and":[18,20,104,150,159,187],"labeled":[19],"unlabeled":[21],"data":[22],"solve":[24],"practical":[25],"problems.":[26,66],"However,":[27],"most":[28],"existing":[29],"methods":[30],"exhibit":[31],"high":[32],"computational":[33,161],"complexity.":[34],"Effective":[35],"integration":[36],"the":[38,85,113,120,130,134,147,160,174,185,190],"on":[40,78,146,180],"different":[41,181],"achieve":[44],"enhanced":[45],"performance":[46],"remains":[47],"a":[48,138],"challenging":[49],"task.":[50],"In":[51],"this":[52],"study,":[53],"we":[54],"combine":[55],"an":[56,91,96,169],"anchor-based":[57,92],"approach":[58],"with":[59],"multi-view":[60,69,74,98,153],"address":[64],"these":[65],"A":[67],"novel":[68],"SSL":[70,75,131,154],"method":[71],"called":[72],"fast":[73],"(FMSSL)":[76],"based":[77],"learned":[79,108,124],"graph":[80,100,109,125,140],"is":[81,126],"proposed.":[82],"Starting":[83],"from":[84],"affinity":[86],"graphs":[87],"constructed":[88],"by":[89,101],"using":[90,102],"strategy,":[93],"FMSSL":[94],"learns":[95],"optimal":[97],"consensus":[99],"feature":[103],"label":[105],"information.":[106],"The":[107,123],"can":[110,155,163],"jointly":[111],"consider":[112],"relation":[114],"approximate":[119],"manifold":[121],"structure.":[122],"then":[127],"introduced":[128],"into":[129],"model":[132],"as":[133],"weight":[135],"matrix":[136],"bipartite":[139],"simultaneously":[142],"perform":[143],"separate":[144],"classification":[145],"original":[148],"samples":[149],"anchors.":[151],"Accordingly,":[152],"be":[156,164],"efficiently":[157],"performed,":[158],"complexity":[162],"significantly":[165],"reduced.":[166],"We":[167],"propose":[168],"effective":[170],"algorithm":[171],"optimize":[173],"objective":[175],"function.":[176],"Extensive":[177],"experimental":[178],"results":[179],"real-world":[182],"datasets":[183],"demonstrate":[184],"efficiency":[188],"proposed":[191],"algorithm.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
