{"id":"https://openalex.org/W2354939339","doi":"https://doi.org/10.1145/2939672.2939815","title":"Meta Structure","display_name":"Meta Structure","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2354939339","doi":"https://doi.org/10.1145/2939672.2939815","mag":"2354939339"},"language":"en","primary_location":{"id":"doi:10.1145/2939672.2939815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5100654922","display_name":"Zhipeng Huang","orcid":"https://orcid.org/0000-0002-7230-7269"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhipeng Huang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814491","display_name":"Yudian Zheng","orcid":"https://orcid.org/0000-0001-6537-1521"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yudian Zheng","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005847882","display_name":"Reynold Cheng","orcid":"https://orcid.org/0000-0002-9480-9809"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Reynold Cheng","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213473","display_name":"Yizhou Sun","orcid":"https://orcid.org/0000-0003-1812-6843"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Sun","raw_affiliation_strings":["Northeastern University, Boston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045731304","display_name":"Nikos Mamoulis","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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nikos Mamoulis","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331032","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-0699-1904"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["The University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":29.5902,"has_fulltext":false,"cited_by_count":197,"citation_normalized_percentile":{"value":0.99600993,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1595","last_page":"1604"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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/T11106","display_name":"Data Management and Algorithms","score":0.9968000054359436,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746365070343018},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7198829054832458},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6689223051071167},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5936681628227234},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4941554367542267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48685067892074585},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44306710362434387},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4318254292011261},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.42681053280830383},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4256332218647003},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42550450563430786},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36936241388320923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2545028328895569},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17894551157951355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14541268348693848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10719135403633118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746365070343018},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7198829054832458},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6689223051071167},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5936681628227234},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4941554367542267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48685067892074585},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44306710362434387},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4318254292011261},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.42681053280830383},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4256332218647003},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42550450563430786},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36936241388320923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2545028328895569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17894551157951355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14541268348693848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10719135403633118},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2939672.2939815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2939672.2939815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/229723","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/229723","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332906","display_name":"Swenson College of Science and Engineering, University of Minnesota Duluth","ror":"https://ror.org/01hy4qx27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W103340358","https://openalex.org/W1964731129","https://openalex.org/W1990280147","https://openalex.org/W2010187764","https://openalex.org/W2018156309","https://openalex.org/W2022166150","https://openalex.org/W2029099433","https://openalex.org/W2029249040","https://openalex.org/W2037933327","https://openalex.org/W2049137142","https://openalex.org/W2070700141","https://openalex.org/W2091002342","https://openalex.org/W2094728533","https://openalex.org/W2095054612","https://openalex.org/W2109480754","https://openalex.org/W2117831564","https://openalex.org/W2124281878","https://openalex.org/W2148847267","https://openalex.org/W2171436207","https://openalex.org/W2295128594","https://openalex.org/W2398900983"],"related_works":["https://openalex.org/W1995054232","https://openalex.org/W1589415932","https://openalex.org/W2319693127","https://openalex.org/W2474567666","https://openalex.org/W2072263576","https://openalex.org/W2790658443","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"A":[0,32],"heterogeneous":[1],"information":[2,61,71],"network":[3],"(HIN)":[4],"is":[5,37,102,127,191],"a":[6,103],"graph":[7,106],"model":[8],"in":[9,35,53,114,141],"which":[10,101],"objects":[11,137],"and":[12,19,25,60,147,184,197],"edges":[13],"are":[14],"annotated":[15],"with":[16,110,171],"types.":[17],"Large":[18],"complex":[20,132],"databases,":[21],"such":[22,83],"as":[23,30,84],"YAGO":[24,183],"DBLP,":[26],"can":[27,50,130,198],"be":[28,51,199],"modeled":[29],"HINs.":[31],"fundamental":[33],"problem":[34],"HINs":[36],"the":[38,67,88,118,144,160],"computation":[39],"of":[40,69,77,107,124,163],"closeness,":[41],"or":[42],"relevance,":[43],"between":[44,90,120,134],"two":[45,135,139],"HIN":[46,70,136],"objects.":[47,91,121],"Relevance":[48],"measures":[49,153],"used":[52],"various":[54],"applications,":[55],"including":[56],"entity":[57],"resolution,":[58],"recommendation,":[59],"retrieval.":[62],"Several":[63],"studies":[64],"have":[65],"investigated":[66],"use":[68,98],"for":[72],"relevance":[73,152,190],"computation,":[74],"however,":[75],"most":[76],"them":[78],"only":[79],"utilize":[80],"simple":[81],"structure,":[82,100],"path,":[85],"to":[86,97,116,159,175],"measure":[87,117],"similarity":[89],"In":[92],"this":[93],"paper,":[94],"we":[95,166],"propose":[96],"meta":[99,125,156,188],"directed":[104],"acyclic":[105],"object":[108],"types":[109,112],"edge":[111],"connecting":[113],"between,":[115],"proximity":[119],"The":[122],"strength":[123],"structure":[126],"that":[128,187],"it":[129],"describe":[131],"relationship":[133],"(e.g.,":[138],"papers":[140],"DBLP":[142,185],"share":[143],"same":[145],"authors":[146],"topics).":[148],"We":[149],"develop":[150],"three":[151],"based":[154],"on":[155,182],"structure.":[157],"Due":[158],"computational":[161],"complexity":[162],"these":[164],"measures,":[165],"further":[167],"design":[168],"an":[169],"algorithm":[170],"data":[172],"structures":[173],"proposed":[174],"support":[176],"their":[177],"evaluation.":[178],"Our":[179],"extensive":[180],"experiments":[181],"show":[186],"structure-based":[189],"more":[192],"effective":[193],"than":[194],"state-of-the-art":[195],"approaches,":[196],"efficiently":[200],"computed.":[201],"\u00a9":[202],"2016":[203],"ACM.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
