{"id":"https://openalex.org/W3002559994","doi":"https://doi.org/10.1109/tkde.2020.2968523","title":"Fast Semi-Supervised Learning With Optimal Bipartite Graph","display_name":"Fast Semi-Supervised Learning With Optimal Bipartite Graph","publication_year":2020,"publication_date":"2020-01-21","ids":{"openalex":"https://openalex.org/W3002559994","doi":"https://doi.org/10.1109/tkde.2020.2968523","mag":"3002559994"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2968523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2968523","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/A5035860485","display_name":"Fang He","orcid":"https://orcid.org/0000-0003-0445-2568"},"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"]},{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang He","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, P. R. China","Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0445-2568","affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"middle","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, 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, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"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":"Rong Wang","raw_affiliation_strings":["School of Cybersecurity and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9240-6726","affiliations":[{"raw_affiliation_string":"School of Cybersecurity and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043672285","display_name":"Haojie Hu","orcid":"https://orcid.org/0000-0002-6645-8853"},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Hu","raw_affiliation_strings":["Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6645-8853","affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108791971","display_name":"Weimin Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126638","display_name":"Horological Research Institute of Light Industry","ror":"https://ror.org/031nqzs81","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126638"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Jia","raw_affiliation_strings":["Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Research Institute of Hi-Tech, Xi'an, P. R. China","institution_ids":["https://openalex.org/I4210126638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"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":"Xuelong Li","raw_affiliation_strings":["School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.762,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.86875724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"9","first_page":"3245","last_page":"3257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944000244140625,"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/T10057","display_name":"Face and Expression Recognition","score":0.9944000244140625,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9933000206947327,"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":0.9909999966621399,"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/bipartite-graph","display_name":"Bipartite graph","score":0.8455315828323364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645645499229431},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5292394161224365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4995155334472656},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48463374376296997},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41206198930740356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36915892362594604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3577776551246643}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.8455315828323364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645645499229431},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5292394161224365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4995155334472656},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48463374376296997},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41206198930740356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36915892362594604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3577776551246643}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2968523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2968523","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/G4820425477","display_name":"\u57fa\u4e8e\u591a\u6a21\u578b\u8054\u5408\u5b66\u4e60\u7684\u89c6\u9891\u6458\u8981\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871470","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"},{"id":"https://openalex.org/G8199110050","display_name":null,"funder_award_id":"2018YFB1107400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1500351990","https://openalex.org/W1585433513","https://openalex.org/W1970942930","https://openalex.org/W1981080484","https://openalex.org/W1981613567","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2035299679","https://openalex.org/W2041878876","https://openalex.org/W2044544672","https://openalex.org/W2048679005","https://openalex.org/W2054022051","https://openalex.org/W2083515729","https://openalex.org/W2104990616","https://openalex.org/W2105015213","https://openalex.org/W2106401878","https://openalex.org/W2107008379","https://openalex.org/W2113590298","https://openalex.org/W2132709984","https://openalex.org/W2139823104","https://openalex.org/W2153635508","https://openalex.org/W2154455818","https://openalex.org/W2252304777","https://openalex.org/W2288381231","https://openalex.org/W2319358180","https://openalex.org/W2330699524","https://openalex.org/W2520742745","https://openalex.org/W2573426660","https://openalex.org/W2577472518","https://openalex.org/W2589266112","https://openalex.org/W2669889762","https://openalex.org/W2672266311","https://openalex.org/W2751449619","https://openalex.org/W2751733204","https://openalex.org/W2754064832","https://openalex.org/W2768975974","https://openalex.org/W2790640759","https://openalex.org/W2921677257","https://openalex.org/W2945696115","https://openalex.org/W3018189936","https://openalex.org/W3122665668","https://openalex.org/W6610472804","https://openalex.org/W6629858893","https://openalex.org/W6637179743","https://openalex.org/W6675350928","https://openalex.org/W6676132248","https://openalex.org/W6680434193","https://openalex.org/W6682494755","https://openalex.org/W6731795620","https://openalex.org/W6743484365"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2372768926","https://openalex.org/W2999799752","https://openalex.org/W2054458431","https://openalex.org/W3013576436","https://openalex.org/W2115167491","https://openalex.org/W3088754131"],"abstract_inverted_index":{"Recently,":[0],"with":[1,20,151],"the":[2,8,25,50,74,86,92,96,99,117,173,185],"explosive":[3],"increase":[4],"in":[5,57,112],"Internet":[6],"data,":[7],"traditional":[9,152],"Graph-based":[10],"Semi-Supervised":[11],"Learning":[12],"(GSSL)":[13],"model":[14],"is":[15,139,146],"not":[16],"suitable":[17],"to":[18,84,121],"deal":[19],"large":[21],"scale":[22],"data":[23,38,76,101],"as":[24],"high":[26],"computation":[27],"complexity.":[28],"Besides,":[29],"GSSL":[30,153],"models":[31],"perform":[32],"classification":[33,51,128],"on":[34,49,91],"a":[35,46,62,80,147],"fixed":[36],"input":[37,75],"graph.":[39],"The":[40,134],"quality":[41],"of":[42,72,98,119,137,175,189],"initialized":[43],"graph":[44,83],"has":[45],"great":[47],"effect":[48],"result.":[52],"To":[53],"solve":[54],"this":[55,58],"problem,":[56,124],"paper,":[59],"we":[60,78,115],"propose":[61],"novel":[63],"approach,":[64],"named":[65],"optimal":[66],"bipartite":[67,82,94],"graph-based":[68],"SSL":[69],"(OBGSSL).":[70],"Instead":[71],"fixing":[73],"graph,":[77,95],"learn":[79],"new":[81],"make":[85],"result":[87],"more":[88],"robust.":[89],"Based":[90],"learned":[93],"labels":[97],"original":[100],"and":[102,130,170,179,187],"anchors":[103,178],"can":[104],"be":[105],"calculated":[106],"simultaneously,":[107],"which":[108,125,145],"solves":[109],"co-classification":[110],"problem":[111],"SSL.":[113],"Then,":[114],"use":[116],"label":[118],"anchor":[120],"handle":[122],"out-of-sample":[123],"preserves":[126],"well":[127],"performance":[129],"saves":[131],"much":[132],"time.":[133],"computational":[135],"complexity":[136],"OBGSSL":[138,191],"O(ndmt+nm":[140],"<sup":[141,158,162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[142,159,163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[143,160],"),":[144,165],"significant":[148],"improvement":[149],"compared":[150],"methods":[154],"that":[155],"need":[156],"O(n":[157],"d+n":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[164],"where":[166],"n,":[167],"d,":[168],"m":[169],"t":[171],"are":[172],"number":[174],"samples,":[176],"features":[177],"iterations,":[180],"respectively.":[181],"Experimental":[182],"results":[183],"demonstrate":[184],"effectiveness":[186],"efficiency":[188],"our":[190],"model.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
