{"id":"https://openalex.org/W4298621126","doi":"https://doi.org/10.1007/s10115-022-01738-w","title":"Fairness in graph-based semi-supervised learning","display_name":"Fairness in graph-based semi-supervised learning","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4298621126","doi":"https://doi.org/10.1007/s10115-022-01738-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-022-01738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01738-w.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","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/s10115-022-01738-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101917791","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0003-4696-641X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036801346","display_name":"Tianqing Zhu","orcid":"https://orcid.org/0000-0003-3411-7947"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tianqing Zhu","raw_affiliation_strings":["Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3411-7947","affiliations":[{"raw_affiliation_string":"Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027612063","display_name":"Mengde Han","orcid":"https://orcid.org/0000-0003-2017-5038"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mengde Han","raw_affiliation_strings":["Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Cyber Security and Privacy, School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028402625","display_name":"Fengwen Chen","orcid":"https://orcid.org/0000-0002-7852-4504"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fengwen Chen","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336792","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-7584-1240"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051406984","display_name":"Wanlei Zhou","orcid":"https://orcid.org/0000-0002-1680-2521"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wanlei Zhou","raw_affiliation_strings":["Institute of Data Science, City University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Chicago, Chicago, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Chicago, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036801346"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":{"value":2780,"currency":"USD","value_usd":2780},"apc_paid":{"value":2780,"currency":"USD","value_usd":2780},"fwci":1.9241,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86942602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"65","issue":"2","first_page":"543","last_page":"570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9763000011444092,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9004999995231628,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/graph","display_name":"Graph","score":0.5494231581687927},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4872680902481079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4861590564250946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4784931540489197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42416155338287354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36645376682281494},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3228386640548706}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5494231581687927},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4872680902481079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4861590564250946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4784931540489197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42416155338287354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36645376682281494},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3228386640548706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10115-022-01738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01738-w.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10115-022-01738-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01738-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01738-w.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"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":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320967","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4298621126.pdf","grobid_xml":"https://content.openalex.org/works/W4298621126.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1961345416","https://openalex.org/W1969198379","https://openalex.org/W2100960835","https://openalex.org/W2116984840","https://openalex.org/W2132914434","https://openalex.org/W2905029197","https://openalex.org/W2907492528","https://openalex.org/W2962925443","https://openalex.org/W2963718773","https://openalex.org/W2964031043","https://openalex.org/W2966133050","https://openalex.org/W2982397075","https://openalex.org/W3008319555","https://openalex.org/W3035335952","https://openalex.org/W3080365325","https://openalex.org/W3100906513","https://openalex.org/W3181414820","https://openalex.org/W3184144760","https://openalex.org/W3187057914","https://openalex.org/W3196906567","https://openalex.org/W4205438669","https://openalex.org/W4213199213","https://openalex.org/W4289258088","https://openalex.org/W6604796190","https://openalex.org/W6607151510","https://openalex.org/W6634488736"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Abstract":[0],"Machine":[1],"learning":[2,30,96],"is":[3,31,39],"widely":[4],"deployed":[5],"in":[6,11,41,108],"society,":[7],"unleashing":[8],"its":[9],"power":[10],"a":[12,78,92,160],"wide":[13],"range":[14],"of":[15,21,57,84,95,105],"applications":[16],"owing":[17],"to":[18,76,91,138,142],"the":[19,32,42,47,55,63,103,143,169],"advent":[20],"big":[22],"data.":[23],"One":[24],"emerging":[25],"problem":[26,114],"faced":[27],"by":[28,46],"machine":[29],"discrimination":[33,38],"from":[34],"data,":[35],"and":[36,121,166],"such":[37],"reflected":[40],"eventual":[43],"decisions":[44],"made":[45],"algorithms.":[48],"Recent":[49],"study":[50,112],"has":[51],"proved":[52,137],"that":[53,156],"increasing":[54],"size":[56],"training":[58],"(labeled)":[59],"data":[60,86],"will":[61],"promote":[62],"fairness":[64,127,148,167],"criteria":[65,128],"with":[66,147],"model":[67],"performance":[68],"being":[69],"maintained.":[70],"In":[71],"this":[72,113],"work,":[73],"we":[74,111],"aim":[75],"explore":[77],"more":[79],"general":[80],"case":[81],"where":[82,125],"quantities":[83],"unlabeled":[85],"are":[87,136],"provided,":[88],"indeed":[89],"leading":[90],"new":[93],"form":[94],"paradigm,":[97],"namely":[98],"fair":[99],"semi-supervised":[100,109],"learning.":[101],"Taking":[102],"popularity":[104],"graph-based":[106],"approaches":[107],"learning,":[110],"both":[115],"on":[116,152],"conventional":[117],"label":[118],"propagation":[119],"method":[120],"graph":[122],"neural":[123],"networks,":[124],"various":[126],"can":[129],"be":[130,139],"flexibly":[131],"integrated.":[132],"Our":[133],"developed":[134],"algorithms":[135],"non-trivial":[140],"extensions":[141],"existing":[144],"supervised":[145],"models":[146],"constraints.":[149],"Extensive":[150],"experiments":[151],"real-world":[153],"datasets":[154],"exhibit":[155],"our":[157],"methods":[158],"achieve":[159],"better":[161],"trade-off":[162],"between":[163],"classification":[164],"accuracy":[165],"than":[168],"compared":[170],"baselines.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
