{"id":"https://openalex.org/W4401170163","doi":"https://doi.org/10.1145/3681792","title":"Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs","display_name":"Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs","publication_year":2024,"publication_date":"2024-07-31","ids":{"openalex":"https://openalex.org/W4401170163","doi":"https://doi.org/10.1145/3681792"},"language":"en","primary_location":{"id":"doi:10.1145/3681792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681792","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3681792","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048791081","display_name":"Yu-Neng Chuang","orcid":"https://orcid.org/0000-0002-7492-0817"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yu-Neng Chuang","raw_affiliation_strings":["Department of Computer Science, Rice University, Houston, TX, USA","Department of Computer Science, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Computer Science, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089183436","display_name":"Kwei-Herng Lai","orcid":"https://orcid.org/0000-0001-8933-7117"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwei-Herng Lai","raw_affiliation_strings":["Department of Computer Science, Rice University, Houston, TX, USA","Department of Computer Science, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Computer Science, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660251","display_name":"Ruixiang Tang","orcid":"https://orcid.org/0000-0001-6476-2336"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixiang Tang","raw_affiliation_strings":["Department of Computer Science, Rice University, Houston, TX, USA","Department of Computer Science, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Computer Science, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072191151","display_name":"Mengnan Du","orcid":"https://orcid.org/0000-0002-1614-6069"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengnan Du","raw_affiliation_strings":["Department of Data Science, New Jersey Institute of Technology, Newark, NJ, USA","Department of Data Science, New Jersey Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Data Science, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Data Science, New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101857873","display_name":"Chia-Yuan Chang","orcid":"https://orcid.org/0009-0001-1889-612X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia-Yuan Chang","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA","Department of Computer Science and Engineering, Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084497683","display_name":"Na Zou","orcid":"https://orcid.org/0000-0003-1984-795X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Zou","raw_affiliation_strings":["Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX, USA","Department of Engineering Technology and Industrial Distribution, Texas A&M University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Engineering Technology and Industrial Distribution, Texas A&M University, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Department of Computer Science, Rice University, Houston, TX, USA","Department of Computer Science, Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Computer Science, Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048791081"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71611925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"19","issue":"2","first_page":"1","last_page":"18"},"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":0.9970999956130981,"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":0.9970999956130981,"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":0.9958000183105469,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7044324278831482},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.5261147618293762},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.5082644820213318},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.48516684770584106},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46424826979637146},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4305962324142456},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4293120801448822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4204685091972351},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4162686765193939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40886396169662476},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3820054531097412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3263511061668396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044324278831482},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.5261147618293762},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.5082644820213318},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.48516684770584106},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46424826979637146},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4305962324142456},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4293120801448822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4204685091972351},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4162686765193939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40886396169662476},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3820054531097412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3263511061668396},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3681792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681792","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3681792","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3681792","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3681792","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401170163.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1532503642","https://openalex.org/W2010996875","https://openalex.org/W2053345430","https://openalex.org/W2075585362","https://openalex.org/W2100960835","https://openalex.org/W2105199828","https://openalex.org/W2107349131","https://openalex.org/W2127795553","https://openalex.org/W2250184916","https://openalex.org/W2604165577","https://openalex.org/W2604314403","https://openalex.org/W2774837955","https://openalex.org/W2785761199","https://openalex.org/W2792839191","https://openalex.org/W2908230750","https://openalex.org/W2945623882","https://openalex.org/W2950393809","https://openalex.org/W2963359213","https://openalex.org/W3003265726","https://openalex.org/W3035447285","https://openalex.org/W3035659929","https://openalex.org/W3083093643","https://openalex.org/W3094268584","https://openalex.org/W3098087397","https://openalex.org/W3098101986","https://openalex.org/W3099203518","https://openalex.org/W3099387504","https://openalex.org/W3117178429","https://openalex.org/W3140314308","https://openalex.org/W3152796751","https://openalex.org/W3155355417","https://openalex.org/W3156178579","https://openalex.org/W3161248896","https://openalex.org/W3208695477","https://openalex.org/W4211240826","https://openalex.org/W4240015404","https://openalex.org/W4255453707","https://openalex.org/W4290875596","https://openalex.org/W4296186062","https://openalex.org/W6762819970"],"related_works":["https://openalex.org/W3181676408","https://openalex.org/W1549959306","https://openalex.org/W320292658","https://openalex.org/W2186138942","https://openalex.org/W2806326686","https://openalex.org/W2001007279","https://openalex.org/W2079674650","https://openalex.org/W2945061532","https://openalex.org/W2389834944","https://openalex.org/W191987727"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,10,19,169],"data":[2,37],"are":[3,14],"prevalent":[4],"in":[5,48,69,126],"real-world":[6],"applications,":[7],"and":[8,96,119,153,158],"knowledge":[9,18,30,70,102,127,168],"neural":[11],"networks":[12],"(KGNNs)":[13],"essential":[15],"techniques":[16],"for":[17,138],"representation":[20,180],"learning.":[21],"Although":[22],"KGNN":[23,112,150,188],"effectively":[24,175],"models":[25],"the":[26,35,62,87,90,94,97,106,121,184,194],"structural":[27],"information":[28,123],"from":[29],"graphs,":[31],"these":[32],"frameworks":[33],"amplify":[34],"underlying":[36],"bias":[38,65,84,95,118,137],"that":[39,66,92,114,172],"leads":[40],"to":[41,81,86,134,146,155],"discrimination":[42],"towards":[43],"certain":[44],"groups":[45],"or":[46],"individuals":[47],"resulting":[49],"applications.":[50],"Additionally,":[51],"as":[52],"existing":[53],"debiasing":[54],"approaches":[55],"mainly":[56],"focus":[57],"on":[58,165],"entity-wise":[59],"bias,":[60],"eliminating":[61],"multi-hop":[63,117],"relational":[64,83,136],"pervasively":[67],"exists":[68],"graphs":[71],"remains":[72],"an":[73],"open":[74],"question.":[75],"However,":[76],"it":[77],"is":[78,132,144,197],"very":[79],"challenging":[80],"eliminate":[82],"due":[85],"sparsity":[88],"of":[89,101,124,141,187,193],"paths":[91],"generate":[93],"non-linear":[98],"proximity":[99,122],"structure":[100],"graphs.":[103,128],"To":[104],"tackle":[105],"challenges,":[107],"we":[108],"propose":[109],"Fair-KGNN,":[110],"a":[111],"framework":[113,131],"simultaneously":[115],"alleviates":[116],"preserves":[120],"entity-to-relation":[125],"The":[129,161,190],"proposed":[130,195],"generalizable":[133],"mitigate":[135,156,176],"all":[139],"types":[140],"KGNN.":[142],"Fair-KGNN":[143,173],"applicable":[145],"incorporate":[147],"two":[148],"state-of-the-art":[149],"models,":[151],"RGCN":[152],"CompGCN,":[154],"gender-occupation":[157],"nationality-salary":[159],"bias.":[160],"experiments":[162],"carried":[163],"out":[164],"three":[166],"benchmark":[167],"datasets":[170],"demonstrate":[171],"can":[174],"unfair":[177],"situations":[178],"during":[179],"learning":[181],"while":[182],"preserving":[183],"predictive":[185],"performance":[186],"models.":[189],"source":[191],"code":[192],"method":[196],"available":[198],"at:":[199],"https://github.com/ynchuang/Mitigating-Relational-Bias-on-Knowledge-Graphs":[200],".":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}