{"id":"https://openalex.org/W1993591232","doi":"https://doi.org/10.1145/1921632.1921638","title":"Clustering Large Attributed Graphs","display_name":"Clustering Large Attributed Graphs","publication_year":2011,"publication_date":"2011-02-01","ids":{"openalex":"https://openalex.org/W1993591232","doi":"https://doi.org/10.1145/1921632.1921638","mag":"1993591232"},"language":"en","primary_location":{"id":"doi:10.1145/1921632.1921638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1921632.1921638","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from 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/A5101984697","display_name":"Hong Cheng","orcid":"https://orcid.org/0000-0002-4673-2587"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Cheng","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101699512","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0003-1334-7495"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","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":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101984697"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.0578,"has_fulltext":false,"cited_by_count":164,"citation_normalized_percentile":{"value":0.95919496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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":0.9959999918937683,"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":0.9950000047683716,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6303107738494873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48464471101760864},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.45806625485420227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4425007402896881},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4372515380382538},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4260086119174957},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.4192715287208557},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.4101373553276062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3838370442390442},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.3231624960899353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17289167642593384}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6303107738494873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48464471101760864},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.45806625485420227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4425007402896881},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4372515380382538},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4260086119174957},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.4192715287208557},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.4101373553276062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3838370442390442},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.3231624960899353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17289167642593384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1921632.1921638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1921632.1921638","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4180162054","display_name":null,"funder_award_id":"2.05E+13","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G8087779710","display_name":null,"funder_award_id":"419008","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W608933645","https://openalex.org/W1532325895","https://openalex.org/W1562327279","https://openalex.org/W1575476631","https://openalex.org/W1660133578","https://openalex.org/W1673310716","https://openalex.org/W1977496278","https://openalex.org/W1988515336","https://openalex.org/W1989946714","https://openalex.org/W1997219719","https://openalex.org/W2020423193","https://openalex.org/W2033590892","https://openalex.org/W2047205327","https://openalex.org/W2095293504","https://openalex.org/W2096450582","https://openalex.org/W2107743791","https://openalex.org/W2108781142","https://openalex.org/W2112247328","https://openalex.org/W2115665694","https://openalex.org/W2117831564","https://openalex.org/W2121947440","https://openalex.org/W2125580539","https://openalex.org/W2127765405","https://openalex.org/W2133299088","https://openalex.org/W2134008243","https://openalex.org/W2155640700","https://openalex.org/W2165515835","https://openalex.org/W2168175183","https://openalex.org/W4213009331","https://openalex.org/W4233135949","https://openalex.org/W4299822399"],"related_works":["https://openalex.org/W2592554948","https://openalex.org/W2366079443","https://openalex.org/W2954009223","https://openalex.org/W1980424184","https://openalex.org/W4302567657","https://openalex.org/W153309283","https://openalex.org/W2755368127","https://openalex.org/W4292382929","https://openalex.org/W4380898424","https://openalex.org/W2186663447"],"abstract_inverted_index":{"Social":[0],"networks,":[1,3,5],"sensor":[2],"biological":[4],"and":[6,22,74,148,196,247],"many":[7,31,51],"other":[8],"information":[9],"networks":[10],"can":[11],"be":[12],"modeled":[13],"as":[14,69,71,100],"a":[15,66,76,89,134,143,152,159,173],"large":[16,32,67,77,90,160,230],"graph.":[17,78],"Graph":[18],"vertices":[19,87],"represent":[20,25],"entities,":[21],"graph":[23,44,54,68,82,91,108,136,161,245],"edges":[24],"their":[26],"relationships":[27],"or":[28,38,103],"interactions.":[29],"In":[30,50,129],"graphs,":[33],"there":[34],"is":[35,84,184,201,207],"usually":[36],"one":[37],"more":[39],"attributes":[40,164],"associated":[41,162],"with":[42,163,177,242],"every":[43],"vertex":[45,101,123],"to":[46,85,186,203,222],"describe":[47],"its":[48],"properties.":[49],"application":[52],"domains,":[53],"clustering":[55,83,109,137,246],"techniques":[56,216],"are":[57,126,220],"very":[58],"useful":[59],"for":[60,72,117],"detecting":[61],"densely":[62,174],"connected":[63,175],"groups":[64],"in":[65,88],"well":[70],"understanding":[73],"visualizing":[75],"The":[79],"goal":[80],"of":[81,191,193,227,238],"partition":[86],"into":[92,165],"different":[93],"clusters":[94,167],"based":[95],"on":[96,113,217,229],"various":[97],"criteria":[98],"such":[99],"connectivity":[102],"neighborhood":[104],"similarity.":[105,198],"Many":[106],"existing":[107],"methods":[110],"mainly":[111],"focus":[112],"the":[114,122,189,225,236,243],"topological":[115],"structure":[116],"clustering,":[118],"but":[119],"largely":[120],"ignore":[121],"properties,":[124],"which":[125,141],"often":[127],"heterogenous.":[128],"this":[130],"article,":[131],"we":[132],"propose":[133],"novel":[135],"algorithm,":[138],"SA-Cluster":[139,206,228,239],",":[140],"achieves":[142],"good":[144],"balance":[145],"between":[146],"structural":[147,194],"attribute":[149,179,197],"similarities":[150],"through":[151,210,240],"unified":[153],"distance":[154],"measure.":[155],"Our":[156],"method":[157,183],"partitions":[158],"k":[166],"so":[168],"that":[169,205],"each":[170],"cluster":[171,212],"contains":[172],"subgraph":[176],"homogeneous":[178],"values.":[180],"An":[181],"effective":[182],"proposed":[185,221],"automatically":[187],"learn":[188],"degree":[190],"contributions":[192],"similarity":[195],"Theoretical":[199],"analysis":[200],"provided":[202],"show":[204],"converging":[208],"quickly":[209],"iterative":[211],"refinement.":[213],"Some":[214],"optimization":[215],"matrix":[218],"computation":[219],"further":[223],"improve":[224],"efficiency":[226],"graphs.":[231],"Extensive":[232],"experimental":[233],"results":[234],"demonstrate":[235],"effectiveness":[237],"comparisons":[241],"state-of-the-art":[244],"summarization":[248],"methods.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
