{"id":"https://openalex.org/W2782735072","doi":"https://doi.org/10.1109/tfuzz.2018.2791951","title":"Discovering Fuzzy Structural Patterns for Graph Analytics","display_name":"Discovering Fuzzy Structural Patterns for Graph Analytics","publication_year":2018,"publication_date":"2018-01-11","ids":{"openalex":"https://openalex.org/W2782735072","doi":"https://doi.org/10.1109/tfuzz.2018.2791951","mag":"2782735072"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2018.2791951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2018.2791951","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5024619357","display_name":"Tiantian He","orcid":"https://orcid.org/0000-0003-4839-681X"},"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":"Tiantian He","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4839-681X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107049960","display_name":"Keith C. C. Chan","orcid":"https://orcid.org/0000-0001-7962-6564"},"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":"Keith C. C. Chan","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7962-6564","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":3.4061,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93050722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"2785","last_page":"2796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9955000281333923,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.989300012588501,"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/disjoint-sets","display_name":"Disjoint sets","score":0.6968348026275635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479239463806152},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49505797028541565},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42998558282852173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4291347563266754},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.415410578250885},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3807254731655121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25691699981689453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23744797706604004},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15025478601455688}],"concepts":[{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6968348026275635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479239463806152},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49505797028541565},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42998558282852173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4291347563266754},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.415410578250885},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3807254731655121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25691699981689453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23744797706604004},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15025478601455688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2018.2791951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2018.2791951","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W628035","https://openalex.org/W36838763","https://openalex.org/W157251712","https://openalex.org/W1607198972","https://openalex.org/W1971421925","https://openalex.org/W1981959792","https://openalex.org/W1995450389","https://openalex.org/W1996747841","https://openalex.org/W1996916311","https://openalex.org/W2014356953","https://openalex.org/W2027896857","https://openalex.org/W2044400205","https://openalex.org/W2047940964","https://openalex.org/W2051350851","https://openalex.org/W2063909949","https://openalex.org/W2065691025","https://openalex.org/W2103017472","https://openalex.org/W2106545428","https://openalex.org/W2107067224","https://openalex.org/W2107107106","https://openalex.org/W2108457651","https://openalex.org/W2110620844","https://openalex.org/W2111002549","https://openalex.org/W2111565546","https://openalex.org/W2116117181","https://openalex.org/W2121947440","https://openalex.org/W2123549998","https://openalex.org/W2125580539","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2131681506","https://openalex.org/W2132582966","https://openalex.org/W2132914434","https://openalex.org/W2135827982","https://openalex.org/W2151936673","https://openalex.org/W2158908968","https://openalex.org/W2160671582","https://openalex.org/W2162038040","https://openalex.org/W2163485494","https://openalex.org/W2164928285","https://openalex.org/W2165232124","https://openalex.org/W2165515835","https://openalex.org/W2165636119","https://openalex.org/W2166914830","https://openalex.org/W2167428023","https://openalex.org/W2170714499","https://openalex.org/W2170938037","https://openalex.org/W2174706414","https://openalex.org/W2312464733","https://openalex.org/W2406808456","https://openalex.org/W2949086987","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W3102647957","https://openalex.org/W3140968660","https://openalex.org/W6606358983","https://openalex.org/W6649409464","https://openalex.org/W6676274861","https://openalex.org/W6676783712","https://openalex.org/W6678582656","https://openalex.org/W6679937557","https://openalex.org/W6683665933","https://openalex.org/W6684016536","https://openalex.org/W6684570415","https://openalex.org/W6685510952","https://openalex.org/W6713948751","https://openalex.org/W6763444433","https://openalex.org/W6785880030"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W2348092930","https://openalex.org/W2012063272","https://openalex.org/W2138685729","https://openalex.org/W2062850566","https://openalex.org/W4308716484","https://openalex.org/W2098284475","https://openalex.org/W26693340"],"abstract_inverted_index":{"Many":[0],"real-world":[1,151],"datasets":[2,153],"can":[3],"be":[4,89,158],"represented":[5],"as":[6,127],"attributed":[7,99,166,179],"graphs":[8],"that":[9],"contain":[10],"vertices,":[11],"each":[12],"of":[13,20,36,50,56,60,76,124],"which":[14,27,132],"is":[15,155,169],"associated":[16],"with":[17,147],"a":[18,48,84,128,170],"set":[19],"attribute":[21,72,141],"values.":[22,142],"Discovering":[23],"clusters,":[24],"or":[25],"communities,":[26],"are":[28,34],"structural":[29,115,175],"patterns":[30,116],"in":[31,41,97,165,178],"these":[32],"graphs,":[33],"one":[35],"the":[37,46,77,98,122,137],"most":[38,75],"important":[39],"tasks":[40],"graph":[42,118,138,152],"analysis.":[43],"To":[44,101],"perform":[45],"task,":[47],"number":[49],"algorithms":[51,78],"have":[52],"been":[53,145],"proposed.":[54],"Some":[55],"them":[57,68],"detect":[58,92],"clusters":[59,81,95,164],"particular":[61],"topological":[62],"properties,":[63],"whereas":[64],"some":[65],"others":[66],"discover":[67,79,113],"mainly":[69],"based":[70],"on":[71],"information.":[73],"Also,":[74],"disjoint":[80],"only.":[82],"As":[83],"result,":[85],"they":[86],"may":[87],"not":[88],"able":[90],"to":[91,112,157],"more":[93,104],"meaningful":[94],"hidden":[96],"graph.":[100],"do":[102],"so":[103],"effectively,":[105],"we":[106],"propose":[107],"an":[108],"algorithm,":[109],"called":[110],"FSPGA,":[111],"fuzzy":[114,172],"for":[117,174],"analytics.":[119],"FSPGA":[120,143,168],"performs":[121],"task":[123],"cluster":[125],"discovery":[126],"fuzzy-constrained":[129],"optimization":[130],"problem,":[131],"takes":[133],"into":[134],"consideration":[135],"both":[136,148],"topology":[139],"and":[140,150,154,160],"has":[144],"tested":[146],"synthetic":[149],"found":[156],"efficient":[159],"effective":[161],"at":[162],"detecting":[163],"graphs.":[167,180],"promising":[171],"algorithm":[173],"pattern":[176],"detection":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
