{"id":"https://openalex.org/W2070593017","doi":"https://doi.org/10.1145/1807167.1807217","title":"Finding maximal cliques in massive networks by H*-graph","display_name":"Finding maximal cliques in massive networks by H*-graph","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W2070593017","doi":"https://doi.org/10.1145/1807167.1807217","mag":"2070593017"},"language":"en","primary_location":{"id":"doi:10.1145/1807167.1807217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of 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/A5016082884","display_name":"James Cheng","orcid":"https://orcid.org/0000-0001-6313-6288"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"James Cheng","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074491217","display_name":"Yiping Ke","orcid":"https://orcid.org/0000-0001-9473-3202"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiping Ke","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110164824","display_name":"Ada Wai-Chee Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ada Wai-Chee Fu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022377869","display_name":"Linhong Zhu","orcid":"https://orcid.org/0000-0001-8350-392X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Linhong Zhu","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8301,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.97541269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"447","last_page":"458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6956417560577393},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6227598190307617},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5591612458229065},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5348443388938904},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4164063334465027},{"id":"https://openalex.org/keywords/random-geometric-graph","display_name":"Random geometric graph","score":0.41541221737861633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31921690702438354},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.2414867877960205},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.212246835231781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956417560577393},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6227598190307617},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5591612458229065},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5348443388938904},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4164063334465027},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.41541221737861633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31921690702438354},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.2414867877960205},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.212246835231781}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1807167.1807217","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.8025","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.8025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isi.edu/%7Elinhong/Papers/sigmod10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W162308369","https://openalex.org/W1620903941","https://openalex.org/W1627599966","https://openalex.org/W1868111879","https://openalex.org/W1960686302","https://openalex.org/W1974959172","https://openalex.org/W1976969221","https://openalex.org/W2000979164","https://openalex.org/W2005234139","https://openalex.org/W2028902195","https://openalex.org/W2030609175","https://openalex.org/W2040420521","https://openalex.org/W2042892801","https://openalex.org/W2046270811","https://openalex.org/W2051658231","https://openalex.org/W2059187921","https://openalex.org/W2061901927","https://openalex.org/W2080925589","https://openalex.org/W2089417393","https://openalex.org/W2090200605","https://openalex.org/W2106144871","https://openalex.org/W2116007667","https://openalex.org/W2128438887","https://openalex.org/W2137709410","https://openalex.org/W2148606196","https://openalex.org/W2150902060","https://openalex.org/W2155821385","https://openalex.org/W2160429376","https://openalex.org/W2403629185","https://openalex.org/W3049667020","https://openalex.org/W4230870880","https://openalex.org/W6676095684"],"related_works":["https://openalex.org/W2404647514","https://openalex.org/W1667647204","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1524101012","https://openalex.org/W1604988569","https://openalex.org/W4297917970","https://openalex.org/W2607122160"],"abstract_inverted_index":{"Maximal":[0],"clique":[1],"enumeration":[2],"(MCE)":[3],"is":[4,27,76,217],"a":[5,49,72,90,115,124,211],"fundamental":[6],"problem":[7,26],"in":[8,15,39,52,182,202],"graph":[9,81],"theory":[10],"and":[11,23,85,99,126,161],"has":[12,47],"important":[13,192],"applications":[14],"many":[16],"areas":[17],"such":[18],"as":[19],"social":[20],"network":[21,61,125],"analysis":[22],"bioinformatics.":[24],"The":[25],"extensively":[28],"studied;":[29],"however,":[30],"the":[31,40,43,55,80,94,108,121,130,133,140,149,153,159,164,183,189,195,199,203,206,223],"best":[32],"existing":[33],"algorithms":[34],"require":[35],"memory":[36,154],"space":[37],"linear":[38],"size":[41],"of":[42,54,58,71,123,132,163,194],"input":[44],"graph.":[45],"This":[46],"become":[48],"serious":[50],"concern":[51],"view":[53],"massive":[56],"volume":[57],"today's":[59],"fast-growing":[60],"graphs.":[62],"Since":[63],"MCE":[64,136,145],"requires":[65],"random":[66],"access":[67],"to":[68,78,128,151,219],"different":[69,111],"parts":[70,84],"large":[73,176],"graph,":[74],"it":[75,102,216],"difficult":[77],"divide":[79],"into":[82],"smaller":[83],"process":[86],"one":[87],"part":[88],"at":[89],"time,":[91],"because":[92],"either":[93],"result":[95,165],"may":[96],"be":[97,180],"incorrect":[98],"incomplete,":[100],"or":[101],"incurs":[103],"huge":[104],"cost":[105],"on":[106,222],"merging":[107],"results":[109],"from":[110],"parts.":[112],"We":[113,138,156,185],"propose":[114,139],"novel":[116],"notion,":[117],"H*-graph,":[118],"which":[119],"defines":[120],"core":[122,134],"extends":[127],"encompass":[129],"neighborhood":[131],"for":[135,144],"computation.":[137],"first":[141],"external-memory":[142],"algorithm":[143],"(ExtMCE)":[146],"that":[147,172,178,188],"uses":[148],"H*-graph":[150,190,204],"bound":[152],"usage.":[155],"prove":[157],"both":[158],"correctness":[160],"completeness":[162],"computed":[166],"by":[167],"ExtMCE.":[168],"Extensive":[169],"experiments":[170],"verify":[171],"ExtMCE":[173],"efficiently":[174],"processes":[175],"networks":[177],"cannot":[179],"fit":[181],"memory.":[184],"also":[186],"show":[187],"captures":[191],"properties":[193],"network;":[196],"thus,":[197],"updating":[198],"maximal":[200],"cliques":[201],"retains":[205],"most":[207],"essential":[208],"information,":[209],"with":[210],"low":[212],"update":[213,221],"cost,":[214],"when":[215],"infeasible":[218],"perform":[220],"entire":[224],"network.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}