{"id":"https://openalex.org/W4318148199","doi":"https://doi.org/10.1109/bigdata55660.2022.10020548","title":"iFiG: Individually Fair Multi-view Graph Clustering","display_name":"iFiG: Individually Fair Multi-view Graph Clustering","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318148199","doi":"https://doi.org/10.1109/bigdata55660.2022.10020548"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020548","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5100618836","display_name":"Yian Wang","orcid":"https://orcid.org/0000-0003-1349-0611"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yian Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700905","display_name":"Jian Kang","orcid":"https://orcid.org/0000-0003-3902-7131"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Kang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052933431","display_name":"Yinglong Xia","orcid":"https://orcid.org/0000-0002-8155-5440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinglong Xia","raw_affiliation_strings":["Meta"],"affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester"],"affiliations":[{"raw_affiliation_string":"University of Rochester","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100618836"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.6226,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68896789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965999722480774,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.7454973459243774},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6455086469650269},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5436716079711914},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5286077857017517},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5033027529716492},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4937325417995453},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4933563768863678},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.43357717990875244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3891712725162506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2565245032310486},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16330385208129883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1485336720943451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7454973459243774},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6455086469650269},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5436716079711914},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5286077857017517},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5033027529716492},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4937325417995453},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4933563768863678},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43357717990875244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3891712725162506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2565245032310486},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16330385208129883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1485336720943451},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020548","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W658559791","https://openalex.org/W1583837637","https://openalex.org/W2022322548","https://openalex.org/W2051821221","https://openalex.org/W2059861509","https://openalex.org/W2066636486","https://openalex.org/W2100960835","https://openalex.org/W2153015072","https://openalex.org/W2154415691","https://openalex.org/W2171590421","https://openalex.org/W2748391982","https://openalex.org/W2755088640","https://openalex.org/W2784777439","https://openalex.org/W2911286998","https://openalex.org/W2921065608","https://openalex.org/W2945266622","https://openalex.org/W2951652447","https://openalex.org/W2962756421","https://openalex.org/W2962779748","https://openalex.org/W2966133050","https://openalex.org/W2970382658","https://openalex.org/W3012918605","https://openalex.org/W3022201018","https://openalex.org/W3080113507","https://openalex.org/W3080365325","https://openalex.org/W3093766087","https://openalex.org/W3117178429","https://openalex.org/W3130828726","https://openalex.org/W3152796751","https://openalex.org/W3154679372","https://openalex.org/W3155357629","https://openalex.org/W3162311979","https://openalex.org/W3171764584","https://openalex.org/W3213009930","https://openalex.org/W4213199213","https://openalex.org/W4220900167","https://openalex.org/W4234578417","https://openalex.org/W4287323365","https://openalex.org/W6682991666","https://openalex.org/W6744271739","https://openalex.org/W6748280624","https://openalex.org/W6758443788","https://openalex.org/W6762760276","https://openalex.org/W6766671104","https://openalex.org/W6779518175","https://openalex.org/W6784451883","https://openalex.org/W6790777772","https://openalex.org/W6794699915","https://openalex.org/W6803318553"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2081900870"],"abstract_inverted_index":{"A":[0],"multi-view":[1,30,73],"graph":[2,74,85],"comprises":[3],"multiple":[4,27],"single-view":[5],"graphs":[6,22],"with":[7],"the":[8,46],"same":[9],"set":[10],"of":[11,16,49,57,72],"nodes":[12],"but":[13],"different":[14,52,55],"types":[15,56],"edges.":[17],"In":[18],"many":[19],"real-world":[20],"applications,":[21],"are":[23],"often":[24],"collected":[25],"from":[26],"sources,":[28],"forming":[29],"graphs.":[31],"For":[32],"example,":[33],"users":[34],"could":[35],"have":[36,68],"accounts":[37],"on":[38],"numerous":[39],"social":[40],"platforms":[41],"like":[42],"Facebook":[43],"and":[44,84],"Twitter;":[45],"infrastructure":[47],"network":[48],"cities":[50],"exhibits":[51],"topologies":[53],"considering":[54],"infrastructures":[58],"(e.g.,":[59],"power":[60],"grid,":[61],"road":[62],"network).":[63],"Up":[64],"to":[65],"now,":[66],"researchers":[67],"proposed":[69],"a":[70],"variety":[71],"mining":[75],"models,":[76],"including":[77],"clustering":[78],"[1]":[79],",":[80,83],"embedding":[81],"[2]":[82],"neural":[86],"networks":[87],"[3]":[88],".":[89]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
