{"id":"https://openalex.org/W7137998512","doi":"https://doi.org/10.1609/aaai.v40i29.39614","title":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","display_name":"Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137998512","doi":"https://doi.org/10.1609/aaai.v40i29.39614"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i29.39614","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39614","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i29.39614","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009272129","display_name":"Jo\u00e3o Guilherme Mattos","orcid":"https://orcid.org/0000-0002-6877-1608"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joao Mattos","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031311350","display_name":"Debolina Halder Lina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debolina Halder Lina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129714287","display_name":"Arlei Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arlei Silva","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009272129"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21615837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"29","first_page":"24335","last_page":"24343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.673799991607666,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.673799991607666,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.2443999946117401,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.01209999993443489,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parity","display_name":"Parity (physics)","score":0.571399986743927},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5455999970436096},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.5444999933242798},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.4268999993801117},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36160001158714294},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.3246999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205999851226807},{"id":"https://openalex.org/C2777151079","wikidata":"https://www.wikidata.org/wiki/Q141160","display_name":"Parity (physics)","level":2,"score":0.571399986743927},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.4268999993801117},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4002000093460083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2759999930858612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26350000500679016},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25200000405311584},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i29.39614","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39614","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i29.39614","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i29.39614","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6806820034980774}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Link":[0],"prediction":[1],"is":[2,24],"a":[3,36,103,107,114],"fundamental":[4],"task":[5],"in":[6,21,86],"graph":[7,18],"machine":[8],"learning":[9],"with":[10,119],"applications":[11],"ranging":[12],"from":[13],"social":[14],"recommendation":[15],"to":[16,68],"knowledge":[17],"completion.":[19],"Fairness":[20],"this":[22,56],"setting":[23],"critical,":[25],"as":[26,90],"biased":[27],"predictions":[28],"can":[29,59],"exacerbate":[30],"societal":[31],"inequalities.":[32],"Prior":[33],"work":[34],"adopts":[35],"dyadic":[37,57],"definition":[38],"of":[39,97],"fairness,":[40],"enforcing":[41],"fairness":[42,84,99],"through":[43],"demographic":[44,75],"parity":[45,76],"between":[46],"intra-group":[47],"and":[48,101,127],"inter-group":[49],"link":[50,91,121],"predictions.":[51],"However,":[52],"we":[53,72,112],"show":[54],"that":[55,74,105,123],"framing":[58],"obscure":[60],"underlying":[61],"disparities":[62],"across":[63],"subgroups,":[64],"allowing":[65],"systemic":[66],"biases":[67],"go":[69],"undetected.":[70],"Moreover,":[71],"argue":[73],"does":[77],"not":[78],"meet":[79],"the":[80,95],"desired":[81],"properties":[82],"for":[83],"assessment":[85],"ranking-based":[87],"tasks":[88],"such":[89],"prediction.":[92],"We":[93],"formalize":[94],"limitations":[96],"existing":[98],"evaluations":[100],"propose":[102,113],"framework":[104],"enables":[106],"more":[108],"expressive":[109],"assessment.":[110],"Additionally,":[111],"lightweight":[115],"post-processing":[116],"method":[117],"combined":[118],"decoupled":[120],"predictors":[122],"effectively":[124],"mitigates":[125],"bias":[126],"achieves":[128],"state-of-the-art":[129],"fairness\u2013utility":[130],"trade-offs.":[131]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
