{"id":"https://openalex.org/W2431031675","doi":"https://doi.org/10.1109/icde.2016.7498237","title":"Scalable supergraph search in large graph databases","display_name":"Scalable supergraph search in large graph databases","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2431031675","doi":"https://doi.org/10.1109/icde.2016.7498237","mag":"2431031675"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/122814/4/ICDE16_research_138.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058153334","display_name":"Bingqing Lyu","orcid":"https://orcid.org/0000-0002-6795-9262"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqing Lyu","raw_affiliation_strings":["East China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046220908","display_name":"Lu Qin","orcid":"https://orcid.org/0000-0001-6068-5062"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210096034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["East China Normal University, China","The University of New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037530341","display_name":"Lijun Chang","orcid":"https://orcid.org/0000-0002-6830-3900"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lijun Chang","raw_affiliation_strings":["The University of New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"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":"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, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9977999925613403,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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/epigraph","display_name":"Epigraph","score":0.8595212697982788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8019353747367859},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.7216537594795227},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5963268280029297},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.572697103023529},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.505877673625946},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.469612181186676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44932422041893005},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4100944399833679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4031897783279419},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3279034495353699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26965057849884033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11845985054969788}],"concepts":[{"id":"https://openalex.org/C17192189","wikidata":"https://www.wikidata.org/wiki/Q1347059","display_name":"Epigraph","level":2,"score":0.8595212697982788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019353747367859},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.7216537594795227},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5963268280029297},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.572697103023529},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.505877673625946},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.469612181186676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44932422041893005},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4100944399833679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4031897783279419},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3279034495353699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26965057849884033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11845985054969788},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2016.7498237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/122814","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/122814","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/122814/4/ICDE16_research_138.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/122814","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/122814","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/122814/4/ICDE16_research_138.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G204887131","display_name":null,"funder_award_id":"DP150102728","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4611444012","display_name":null,"funder_award_id":"NSFC61232006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2431031675.pdf","grobid_xml":"https://content.openalex.org/works/W2431031675.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1507560488","https://openalex.org/W1518994209","https://openalex.org/W1589242672","https://openalex.org/W1965427702","https://openalex.org/W1966631994","https://openalex.org/W1972243925","https://openalex.org/W1975068437","https://openalex.org/W2011039300","https://openalex.org/W2035173902","https://openalex.org/W2096347908","https://openalex.org/W2097308346","https://openalex.org/W2108182844","https://openalex.org/W2110034858","https://openalex.org/W2111036405","https://openalex.org/W2112776329","https://openalex.org/W2112973039","https://openalex.org/W2113367658","https://openalex.org/W2115139257","https://openalex.org/W2122961704","https://openalex.org/W2126359798","https://openalex.org/W2140840007","https://openalex.org/W2147405597","https://openalex.org/W2152609228","https://openalex.org/W2153752433","https://openalex.org/W2156543375","https://openalex.org/W2156792760","https://openalex.org/W2157149375","https://openalex.org/W2158100015","https://openalex.org/W2166524953","https://openalex.org/W2166959472","https://openalex.org/W2169310183","https://openalex.org/W2170726034","https://openalex.org/W6674352362","https://openalex.org/W6676966293","https://openalex.org/W6682832507","https://openalex.org/W6685146747"],"related_works":["https://openalex.org/W2220213825","https://openalex.org/W2126194878","https://openalex.org/W2691956313","https://openalex.org/W1972243925","https://openalex.org/W3192615599","https://openalex.org/W4224223872","https://openalex.org/W2018558368","https://openalex.org/W4313419844","https://openalex.org/W2590510835","https://openalex.org/W2366976231"],"abstract_inverted_index":{"Supergraph":[0],"search":[1,25,42],"is":[2,10,99,194],"a":[3,18,22,90,109,118,161,185,221],"fundamental":[4],"problem":[5],"in":[6,13,30,54,67,117],"graph":[7,19,35,223],"databases":[8],"that":[9,163],"widely":[11],"applied":[12],"many":[14],"application":[15],"scenarios.":[16],"Given":[17],"database":[20],"and":[21,58,80,101,136,140,167,172,202,226],"query-graph,":[23],"supergraph":[24,41],"retrieves":[26],"all":[27],"data-graphs":[28,79,152],"contained":[29],"the":[31,34,44,55,64,68,126,133,151,169,176,189,199,203,214,227,231,248],"query-graph":[32],"from":[33,150],"database.":[36],"Most":[37],"existing":[38],"solutions":[39],"for":[40],"follow":[43],"pruning-and-verification":[45],"framework,":[46],"which":[47,98],"prunes":[48],"false":[49],"answers":[50],"based":[51],"on":[52,63,89,241],"features":[53,97,116,148,159,166,177,193],"pruning":[56,173,204],"phase":[57],"performs":[59],"subgraph":[60,92,156],"isomorphism":[61],"testings":[62],"remaining":[65],"graphs":[66],"verification":[69,111],"phase.":[70,112],"However,":[71],"they":[72,87,107,114],"are":[73,178],"not":[74],"scalable":[75],"to":[76,83,95,125,191,211,246],"handle":[77],"large-sized":[78],"query-graphs":[81],"due":[82],"three":[84,134],"drawbacks.":[85],"First,":[86],"rely":[88],"frequent":[91,155],"mining":[93],"algorithm":[94,215],"select":[96,147],"expensive":[100,154],"cannot":[102],"generate":[103],"large":[104,244],"features.":[105],"Second,":[106],"require":[108],"costly":[110],"Third,":[113],"process":[115,192],"fixed":[119],"order":[120,190],"without":[121,153],"considering":[122,197],"their":[123],"relationship":[124],"query-graph.":[127],"In":[128,144,180],"this":[129],"paper,":[130],"we":[131,146,183,236],"address":[132],"drawbacks":[135],"propose":[137,184],"new":[138],"indexing":[139],"query":[141,181],"processing":[142],"algorithms.":[143,253],"indexing,":[145],"directly":[149],"mining.":[157],"The":[158,217],"form":[160],"feature-tree":[162],"contains":[164],"all-sized":[165],"both":[168,198],"cost":[170,200],"sharing":[171,201],"power":[174],"of":[175,233,251],"considered.":[179],"processing,":[182],"verification-free":[186],"algorithm,":[187],"where":[188],"query-dependent":[195],"by":[196],"power.":[205],"We":[206],"explore":[207],"two":[208,242],"optimization":[209],"strategies":[210],"further":[212],"improve":[213],"efficiency.":[216],"first":[218],"strategy":[219,229],"applies":[220],"lightweight":[222],"compression":[224],"technique":[225],"second":[228],"optimizes":[230],"inclusion":[232],"answers.":[234],"Finally,":[235],"conduct":[237],"extensive":[238],"performance":[239],"studies":[240],"real":[243],"datasets":[245],"demonstrate":[247],"high":[249],"scalability":[250],"our":[252]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}