{"id":"https://openalex.org/W4402042827","doi":"https://doi.org/10.14778/3681954.3681975","title":"Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks","display_name":"Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4402042827","doi":"https://doi.org/10.14778/3681954.3681975"},"language":"en","primary_location":{"id":"doi:10.14778/3681954.3681975","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3681954.3681975","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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/A5104174093","display_name":"Yingli Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingli Zhou","raw_affiliation_strings":["The Chinese University of Hong, Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong, Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043494334","display_name":"Yixiang Fang","orcid":"https://orcid.org/0000-0002-5047-8593"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Fang","raw_affiliation_strings":["The Chinese University of Hong, Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong, Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055857919","display_name":"Chenhao Ma","orcid":"https://orcid.org/0000-0002-3243-8512"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Ma","raw_affiliation_strings":["The Chinese University of Hong, Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong, Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111308126","display_name":"Tianci Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianci Hou","raw_affiliation_strings":["The Chinese University of Hong, Kong, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong, Kong, Shenzhen","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620045","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0001-9788-5383"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7129,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94092351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"17","issue":"11","first_page":"2946","last_page":"2959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9987000226974487,"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/T11478","display_name":"Caching and Content Delivery","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/enumeration","display_name":"Enumeration","score":0.8962790966033936},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.6996684074401855},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5309094190597534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4506242573261261},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4280939996242523},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.4196932315826416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3921720087528229},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38417455554008484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3569489121437073}],"concepts":[{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.8962790966033936},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.6996684074401855},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5309094190597534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4506242573261261},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4280939996242523},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.4196932315826416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3921720087528229},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38417455554008484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3569489121437073},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3681954.3681975","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3681954.3681975","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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":72,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1485742133","https://openalex.org/W1518653692","https://openalex.org/W1539662764","https://openalex.org/W1666479227","https://openalex.org/W1890592509","https://openalex.org/W1963605141","https://openalex.org/W1977998106","https://openalex.org/W1983365058","https://openalex.org/W1998341696","https://openalex.org/W2002203222","https://openalex.org/W2007940874","https://openalex.org/W2008511084","https://openalex.org/W2041361017","https://openalex.org/W2044074944","https://openalex.org/W2046270811","https://openalex.org/W2046813095","https://openalex.org/W2063999654","https://openalex.org/W2070700141","https://openalex.org/W2071114738","https://openalex.org/W2092176451","https://openalex.org/W2097844290","https://openalex.org/W2100409033","https://openalex.org/W2116007667","https://openalex.org/W2125895010","https://openalex.org/W2138366464","https://openalex.org/W2150284260","https://openalex.org/W2151953639","https://openalex.org/W2160689274","https://openalex.org/W2167598145","https://openalex.org/W2169088933","https://openalex.org/W2180361393","https://openalex.org/W2317565191","https://openalex.org/W2400908863","https://openalex.org/W2423652555","https://openalex.org/W2516280752","https://openalex.org/W2543598748","https://openalex.org/W2605350416","https://openalex.org/W2608355501","https://openalex.org/W2741359394","https://openalex.org/W2743418339","https://openalex.org/W2787993231","https://openalex.org/W2794823917","https://openalex.org/W2910185186","https://openalex.org/W2949349735","https://openalex.org/W2950303488","https://openalex.org/W2951248129","https://openalex.org/W2952145918","https://openalex.org/W2952587264","https://openalex.org/W2962788915","https://openalex.org/W2963294336","https://openalex.org/W2963467900","https://openalex.org/W2966827122","https://openalex.org/W3011712100","https://openalex.org/W3012937529","https://openalex.org/W3029172955","https://openalex.org/W3029446523","https://openalex.org/W3031513812","https://openalex.org/W3034220763","https://openalex.org/W3034471508","https://openalex.org/W3037117430","https://openalex.org/W3046268417","https://openalex.org/W3084844108","https://openalex.org/W3092103025","https://openalex.org/W3141857288","https://openalex.org/W3166231268","https://openalex.org/W4225137014","https://openalex.org/W4226237846","https://openalex.org/W4281767268","https://openalex.org/W4282813343","https://openalex.org/W4283325326","https://openalex.org/W4385337082"],"related_works":["https://openalex.org/W108845024","https://openalex.org/W2406961474","https://openalex.org/W4300125793","https://openalex.org/W2578985712","https://openalex.org/W2952598754","https://openalex.org/W3042106073","https://openalex.org/W2143566611","https://openalex.org/W4251460363","https://openalex.org/W588267724","https://openalex.org/W2054120177"],"abstract_inverted_index":{"In":[0],"the":[1,24,28,84,120,133,139,143,148,151,178],"heterogeneous":[2],"information":[3],"network":[4,45],"(HIN),":[5],"a":[6,9,13,17,62,68,126],"motif-clique":[7,64,70,97],"is":[8,79,169],"\"complete":[10],"graph\"":[11],"for":[12,50,95],"given":[14],"motif":[15],"(or":[16],"small":[18],"connected":[19],"graph)":[20],"that":[21,161],"could":[22],"capture":[23],"desired":[25],"relationship":[26],"in":[27,39,88,114],"motif.":[29],"The":[30,47],"maximal":[31,52,63,69,96,152],"motif-cliques":[32,53],"of":[33,61,86,141,174],"HINs":[34,159],"have":[35,55],"found":[36],"various":[37],"applications":[38],"community":[40],"discovery,":[41],"recommendation,":[42],"and":[43,65,146,168],"biological":[44],"analysis.":[46],"state-of-the-art":[48,179],"algorithm":[49,164],"enumerating":[51],"may":[54],"to":[56,108,119,171],"explore":[57],"all":[58],"possible":[59],"subgraphs":[60,149],"check":[66],"whether":[67],"has":[71],"been":[72],"enumerated":[73],"at":[74],"each":[75],"recursive":[76],"step,":[77],"which":[78,112,130],"very":[80],"time-consuming.":[81],"To":[82],"improve":[83],"efficiency":[85,167],"enumeration,":[87,111],"this":[89],"paper,":[90],"we":[91],"develop":[92],"efficient":[93],"algorithms":[94],"enumeration":[98],"over":[99],"large":[100],"HINs.":[101],"We":[102,123,136],"first":[103],"introduce":[104],"an":[105],"order-based":[106],"framework":[107],"avoid":[109],"duplicated":[110],"results":[113],"lower":[115],"time":[116],"complexity":[117],"compared":[118],"existing":[121],"algorithm.":[122,180],"then":[124],"propose":[125],"pivot-based":[127],"pruning":[128],"strategy,":[129],"significantly":[131],"reduces":[132],"search":[134],"space.":[135],"further":[137],"optimize":[138],"process":[140],"identifying":[142],"candidate":[144],"sets":[145],"locating":[147],"containing":[150],"motif-cliques.":[153],"Extensive":[154],"experiments":[155],"on":[156],"five":[157],"real-world":[158],"demonstrate":[160],"our":[162],"proposed":[163],"achieves":[165],"high":[166],"up":[170],"three":[172],"orders":[173],"magnitude":[175],"faster":[176],"than":[177]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}