{"id":"https://openalex.org/W1852012889","doi":"https://doi.org/10.14778/2735508.2735520","title":"Efficient top-k simrank-based similarity join","display_name":"Efficient top-k simrank-based similarity join","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W1852012889","doi":"https://doi.org/10.14778/2735508.2735520","mag":"1852012889"},"language":"en","primary_location":{"id":"doi:10.14778/2735508.2735520","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2735508.2735520","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/A5018442175","display_name":"Wenbo Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Tao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073691234","display_name":"Minghe Yu","orcid":"https://orcid.org/0000-0002-0287-8867"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghe Yu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018442175"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.9199,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96052359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"3","first_page":"317","last_page":"328"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958000183105469,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9912999868392944,"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":0.8056721687316895},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.745972752571106},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6898396611213684},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.6458256840705872},{"id":"https://openalex.org/keywords/dot-product","display_name":"Dot product","score":0.6051732301712036},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4930584132671356},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4775691628456116},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4607127606868744},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4383047819137573},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4262653887271881},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4248467683792114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.313412606716156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2671074867248535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14305949211120605},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09734132885932922},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08151587843894958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056721687316895},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.745972752571106},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6898396611213684},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.6458256840705872},{"id":"https://openalex.org/C32900221","wikidata":"https://www.wikidata.org/wiki/Q181365","display_name":"Dot product","level":2,"score":0.6051732301712036},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4930584132671356},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4775691628456116},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4607127606868744},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4383047819137573},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4262653887271881},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4248467683792114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.313412606716156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2671074867248535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14305949211120605},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09734132885932922},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08151587843894958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/2735508.2735520","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2735508.2735520","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.658.6915","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.6915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/vol8/p317-tao.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.5100","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.5100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/vldb2015-simrank.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320335442","display_name":"Beijing Higher Education Young Elite Teacher Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W40096148","https://openalex.org/W103340358","https://openalex.org/W1488303220","https://openalex.org/W1545879303","https://openalex.org/W1989492890","https://openalex.org/W1991765252","https://openalex.org/W1996849720","https://openalex.org/W2021758280","https://openalex.org/W2023210016","https://openalex.org/W2057169561","https://openalex.org/W2063131624","https://openalex.org/W2072501842","https://openalex.org/W2073699560","https://openalex.org/W2117831564","https://openalex.org/W2151584222","https://openalex.org/W2152437528","https://openalex.org/W2154610494","https://openalex.org/W2160680261","https://openalex.org/W2295820528","https://openalex.org/W3000082853"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2790658443","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W2106762190","https://openalex.org/W2806840919"],"abstract_inverted_index":{"SimRank":[0,26,75,113],"is":[1,18,88],"a":[2,15,101],"popular":[3],"and":[4,20,107,152,175,184],"widely-adopted":[5],"similarity":[6,11,61,114],"measure":[7],"to":[8,23,92,118,133],"evaluate":[9],"the":[10,25,45,58,73,82,89,109,112,120,124,140,149],"between":[12,115,123],"nodes":[13,71,117],"in":[14,44,53],"graph.":[16],"It":[17],"time":[19],"space":[21],"consuming":[22],"compute":[24,134],"similarities":[27,76],"for":[28,34],"all":[29,78],"pairs":[30,69,138,166],"of":[31,70,84,111],"nodes,":[32],"especially":[33],"large":[35,143],"graphs.":[36],"In":[37],"real-world":[38],"applications,":[39],"users":[40],"are":[41],"only":[42],"interested":[43],"most":[46,67],"similar":[47,68,137,165],"pairs.":[48,80],"To":[49,81],"address":[50,93],"this":[51,54,87,94],"problem,":[52,63],"paper":[55],"we":[56,153],"study":[57],"top-k":[59],"SimRank-based":[60],"join":[62],"which":[64,159],"finds":[65],"k":[66,136,164],"with":[72],"largest":[74],"among":[77],"possible":[79],"best":[83],"our":[85,179],"knowledge,":[86],"first":[90],"attempt":[91],"problem.":[95],"We":[96,127],"encode":[97],"each":[98],"node":[99],"as":[100],"vector":[102],"by":[103],"summarizing":[104],"its":[105],"neighbors":[106],"transform":[108],"calculation":[110],"two":[116],"computing":[119],"dot":[121],"product":[122],"corresponding":[125],"vectors.":[126,141],"devise":[128,155],"an":[129,156],"efficient":[130],"two-step":[131],"framework":[132],"top-":[135,163],"using":[139],"For":[142],"graphs,":[144],"exact":[145],"algorithms":[146],"cannot":[147],"meet":[148],"high-performance":[150],"requirement,":[151],"also":[154],"approximate":[157],"algorithm":[158],"can":[160],"efficiently":[161],"identify":[162],"under":[167],"user-specified":[168],"accuracy":[169],"requirement.":[170],"Experiments":[171],"on":[172],"both":[173],"real":[174],"synthetic":[176],"datasets":[177],"show":[178],"method":[180],"achieves":[181],"high":[182],"performance":[183],"good":[185],"scalability.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
