{"id":"https://openalex.org/W4401863623","doi":"https://doi.org/10.1145/3637528.3671848","title":"Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach","display_name":"Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863623","doi":"https://doi.org/10.1145/3637528.3671848"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671848","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671848","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053257302","display_name":"Yicong Li","orcid":"https://orcid.org/0000-0001-7905-4885"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yicong Li","raw_affiliation_strings":["The Education University of Hong Kong &amp; University of Technology Sydney, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Education University of Hong Kong &amp; University of Technology Sydney, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210086892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104806745","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0001-9354-3909"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102761202","display_name":"Shuaiqi Liu","orcid":"https://orcid.org/0000-0002-6754-1587"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuaiqi Liu","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102842771","display_name":"Haoran Tang","orcid":"https://orcid.org/0000-0003-0700-8710"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoran Tang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["The Education University of Hong Kong &amp; University of Technology Sydney, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Education University of Hong Kong &amp; University of Technology Sydney, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210086892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053257302"],"corresponding_institution_ids":["https://openalex.org/I4210086892"],"apc_list":null,"apc_paid":null,"fwci":1.7034,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86666099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1701","last_page":"1712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9955999851226807,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9082000255584717,"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/debiasing","display_name":"Debiasing","score":0.9438549280166626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740198731422424},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6031883955001831},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5641751289367676},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4457540810108185},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.4206191301345825},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3240814507007599},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.321663498878479},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18185412883758545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1612323820590973},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11289477348327637},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.058177411556243896}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9438549280166626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740198731422424},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6031883955001831},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5641751289367676},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4457540810108185},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.4206191301345825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3240814507007599},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.321663498878479},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18185412883758545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1612323820590973},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11289477348327637},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.058177411556243896},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671848","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3637528.3671848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3637528.3671848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3637528.3671848","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401863623.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2100960835","https://openalex.org/W2544318541","https://openalex.org/W2966133050","https://openalex.org/W2997738974","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W3035523484","https://openalex.org/W3043097943","https://openalex.org/W3048692209","https://openalex.org/W3094094218","https://openalex.org/W3103409210","https://openalex.org/W3113595157","https://openalex.org/W3117178429","https://openalex.org/W3168679141","https://openalex.org/W3172133997","https://openalex.org/W3175110359","https://openalex.org/W3190794503","https://openalex.org/W3204452106","https://openalex.org/W4212890525","https://openalex.org/W4224950663","https://openalex.org/W4281861579","https://openalex.org/W4284666445","https://openalex.org/W4284892726","https://openalex.org/W4290877727","https://openalex.org/W4290878493","https://openalex.org/W4303649329","https://openalex.org/W4309392349","https://openalex.org/W4318616060","https://openalex.org/W4320009727","https://openalex.org/W4367046779","https://openalex.org/W4381329687","https://openalex.org/W4384625644","https://openalex.org/W4389610027","https://openalex.org/W4390887461","https://openalex.org/W4392693813"],"related_works":["https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W2088740331","https://openalex.org/W4212786251","https://openalex.org/W2516172929","https://openalex.org/W2057144288","https://openalex.org/W2963937989"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"successfully":[2],"learned":[3],"static":[4],"graph":[5,24,33,98],"embeddings":[6,151,170],"that":[7,178],"are":[8],"structurally":[9,113],"fair":[10,150],"by":[11,124],"preventing":[12],"the":[13,58,71,82,86,101,111,127,133,166,184],"effectiveness":[14,49,167,185],"disparity":[15],"of":[16,61,76,85,104,137,169,188],"high-":[17],"and":[18,63,107,132,186],"low-degree":[19],"vertex":[20,105,138],"groups":[21],"in":[22,31,42,81,95,183],"downstream":[23],"mining":[25],"tasks.":[26],"However,":[27],"achieving":[28],"structure":[29,53],"fairness":[30,173,187],"dynamic":[32,43,97],"embedding":[34,48,59,74,126],"remains":[35],"an":[36],"open":[37],"problem.":[38],"Neglecting":[39],"degree":[40,106],"changes":[41,129],"graphs":[44],"will":[45,66],"significantly":[46,67],"impair":[47],"without":[50,171],"notably":[51],"improving":[52],"fairness.":[54],"This":[55,161],"is":[56,146],"because":[57],"performance":[60,75],"high-degree":[62],"low-to-high-degree":[64],"vertices":[65,80,131],"drop":[68],"close":[69],"to":[70,148],"generally":[72],"poorer":[73],"most":[77],"slightly":[78],"changed":[79],"long-tail":[83],"part":[84],"power-law":[87],"distribution.":[88],"We":[89],"first":[90,112],"identify":[91],"biased":[92,121,158],"structural":[93,122,159],"evolutions":[94,123],"a":[96,141],"based":[99],"on":[100],"evolving":[102],"trend":[103,136],"then":[108],"propose":[109],"FairDGE,":[110],"Fair":[114],"Dynamic":[115],"Graph":[116],"Embedding":[117],"algorithm.":[118],"FairDGE":[119,179],"learns":[120],"jointly":[125],"connection":[128],"among":[130],"long-short-term":[134],"evolutionary":[135],"degrees.":[139],"Furthermore,":[140],"novel":[142],"dual":[143],"debiasing":[144,154,163],"approach":[145],"devised":[147],"encode":[149],"contrastively,":[152],"customizing":[153],"strategies":[155],"for":[156],"different":[157],"evolutions.":[160],"innovative":[162],"strategy":[164],"breaks":[165],"bottleneck":[168],"notable":[172],"loss.":[174],"Extensive":[175],"experiments":[176],"demonstrate":[177],"achieves":[180],"simultaneous":[181],"improvement":[182],"embeddings.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
