{"id":"https://openalex.org/W4312361300","doi":"https://doi.org/10.1109/tbdata.2022.3223644","title":"Computing Significant Cliques in Large Labeled Networks","display_name":"Computing Significant Cliques in Large Labeled Networks","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4312361300","doi":"https://doi.org/10.1109/tbdata.2022.3223644"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2022.3223644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2022.3223644","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5091368933","display_name":"Yu-Xuan Qiu","orcid":"https://orcid.org/0000-0002-5275-7983"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu-Xuan Qiu","raw_affiliation_strings":["AAII, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5275-7983","affiliations":[{"raw_affiliation_string":"AAII, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509225","display_name":"Dong Wen","orcid":"https://orcid.org/0000-0002-0903-1503"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dong Wen","raw_affiliation_strings":["School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0903-1503","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742464","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0000-0001-8658-6599"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Hua Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8658-6599","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046220908","display_name":"Lu Qin","orcid":"https://orcid.org/0000-0001-6068-5062"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["AAII, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6068-5062","affiliations":[{"raw_affiliation_string":"AAII, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030248894","display_name":"Michael Yu","orcid":"https://orcid.org/0000-0002-8634-225X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Yu","raw_affiliation_strings":["School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["Antai College of Economics &amp; Management, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-7225","affiliations":[{"raw_affiliation_string":"Antai College of Economics &amp; Management, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2441,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51728745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"9","issue":"3","first_page":"904","last_page":"917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6318880319595337},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.5989008545875549},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5450369119644165},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.5281826257705688},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.4881056249141693},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.42504602670669556},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4175386428833008},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36910364031791687},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.33446842432022095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32501280307769775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31632286310195923},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2110500931739807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318880319595337},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.5989008545875549},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5450369119644165},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.5281826257705688},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.4881056249141693},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.42504602670669556},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4175386428833008},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36910364031791687},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.33446842432022095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32501280307769775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31632286310195923},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2110500931739807},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2022.3223644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2022.3223644","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5766186352","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u65f6\u5e8f\u56fe\u6570\u636e\u7684\u5b50\u56fe\u5339\u914d\u67e5\u8be2\u5904\u7406\u7814\u7a76","funder_award_id":"62072034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7835971171","display_name":null,"funder_award_id":"U1809206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8764403337","display_name":null,"funder_award_id":"U2241211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1485742133","https://openalex.org/W1490679320","https://openalex.org/W1533513619","https://openalex.org/W1676999057","https://openalex.org/W1823437338","https://openalex.org/W1951702208","https://openalex.org/W1963563131","https://openalex.org/W1964419312","https://openalex.org/W1974939910","https://openalex.org/W1983365058","https://openalex.org/W1984903982","https://openalex.org/W1987363726","https://openalex.org/W1994558922","https://openalex.org/W1998341696","https://openalex.org/W2013568176","https://openalex.org/W2023536175","https://openalex.org/W2028902195","https://openalex.org/W2029237417","https://openalex.org/W2046813095","https://openalex.org/W2055245094","https://openalex.org/W2056405528","https://openalex.org/W2070593017","https://openalex.org/W2077352255","https://openalex.org/W2080242873","https://openalex.org/W2081985429","https://openalex.org/W2100367856","https://openalex.org/W2100978151","https://openalex.org/W2102039273","https://openalex.org/W2104812688","https://openalex.org/W2106474670","https://openalex.org/W2108544558","https://openalex.org/W2110227767","https://openalex.org/W2116007667","https://openalex.org/W2134351561","https://openalex.org/W2140280811","https://openalex.org/W2148606255","https://openalex.org/W2153603896","https://openalex.org/W2156028561","https://openalex.org/W2160429376","https://openalex.org/W2164281374","https://openalex.org/W2168137269","https://openalex.org/W2369012075","https://openalex.org/W2398397658","https://openalex.org/W2401610261","https://openalex.org/W2489480532","https://openalex.org/W2547646153","https://openalex.org/W2588222785","https://openalex.org/W2621145626","https://openalex.org/W2750598393","https://openalex.org/W2787993231","https://openalex.org/W2794823917","https://openalex.org/W2801852808","https://openalex.org/W2950201513","https://openalex.org/W2950303488","https://openalex.org/W2963155478","https://openalex.org/W2965684979","https://openalex.org/W3012447781","https://openalex.org/W3037419610","https://openalex.org/W3204485789","https://openalex.org/W4212845555","https://openalex.org/W4243452407","https://openalex.org/W6637459119","https://openalex.org/W6669977911","https://openalex.org/W6675223694","https://openalex.org/W6712773282"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W231720905","https://openalex.org/W2604893261","https://openalex.org/W2915540008","https://openalex.org/W1482551403","https://openalex.org/W2361654510","https://openalex.org/W2128390795","https://openalex.org/W2954463587","https://openalex.org/W2604114816","https://openalex.org/W2077912839"],"abstract_inverted_index":{"Mining":[0],"cohesive":[1,23,51],"subgraphs":[2,52],"and":[3,12],"communities":[4],"is":[5,61,76,99],"a":[6,41,62,66,70,79,139],"fundamental":[7],"problem":[8,89,98],"in":[9,17,53],"network":[10],"analysis":[11],"has":[13],"drawn":[14],"much":[15],"attention":[16],"the":[18,28,33,88,130,144],"last":[19],"decade.":[20],"Most":[21],"existing":[22],"subgraph":[24,34,64,74],"models":[25],"mainly":[26],"consider":[27],"structural":[29],"cohesion":[30],"but":[31],"ignore":[32],"significance.":[35],"In":[36],"this":[37],"article,":[38],"we":[39],"formulate":[40],"new":[42],"model,":[43],"called":[44,83],"statistically":[45,58,94],"significant":[46,50,59,95],"clique,":[47],"to":[48,101,115,128,142],"mine":[49],"large":[54,125],"vertex-labeled":[55],"graphs.":[56],"A":[57],"clique":[60],"complete":[63],"with":[65,110],"significance":[67,75],"value":[68],"exceeding":[69],"given":[71],"threshold.":[72],"The":[73,97],"evaluated":[77],"by":[78],"widely":[80],"used":[81],"metric":[82],"chi-square":[84],"statistic.":[85],"We":[86,104,119,136],"study":[87,141],"of":[90,133,146],"enumerating":[91],"all":[92],"maximal":[93],"cliques.":[96],"proved":[100],"be":[102],"NP-hard.":[103],"propose":[105],"an":[106],"efficient":[107],"branch-and-bound":[108],"algorithm":[109],"several":[111],"elegant":[112],"pruning":[113],"strategies":[114],"solve":[116],"our":[117,134,147],"problem.":[118],"conduct":[120,138],"extensive":[121],"experiments":[122],"on":[123],"seven":[124],"real-world":[126],"datasets":[127],"show":[129],"practical":[131],"efficiency":[132],"algorithms.":[135],"also":[137],"case":[140],"evaluate":[143],"effectiveness":[145],"proposed":[148],"model.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
