{"id":"https://openalex.org/W3176395835","doi":"https://doi.org/10.1145/3461837.3464516","title":"LSQB","display_name":"LSQB","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3176395835","doi":"https://doi.org/10.1145/3461837.3464516","mag":"3176395835"},"language":"en","primary_location":{"id":"doi:10.1145/3461837.3464516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3461837.3464516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3461837.3464516","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3461837.3464516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029853297","display_name":"Amine Mhedhbi","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Amine Mhedhbi","raw_affiliation_strings":["University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084898176","display_name":"Matteo Lissandrini","orcid":"https://orcid.org/0000-0001-7922-5998"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Matteo Lissandrini","raw_affiliation_strings":["Aalborg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008330762","display_name":"Laurens Kuiper","orcid":"https://orcid.org/0009-0008-8879-3856"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Laurens Kuiper","raw_affiliation_strings":["CWI Amsterdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWI Amsterdam","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076742316","display_name":"Jack Waudby","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jack Waudby","raw_affiliation_strings":["Newcastle University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021518799","display_name":"G\u00e1bor Sz\u00e1rnyas","orcid":"https://orcid.org/0000-0001-8233-4431"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"G\u00e1bor Sz\u00e1rnyas","raw_affiliation_strings":["CWI Amsterdam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CWI Amsterdam","institution_ids":["https://openalex.org/I1341640284"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029853297"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.9698,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.77362815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8237568140029907},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6468783617019653},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.623069167137146},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.6095287203788757},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.5889773368835449},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5407161712646484},{"id":"https://openalex.org/keywords/petascale-computing","display_name":"Petascale computing","score":0.48925089836120605},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.45837947726249695},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44859328866004944},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.429233580827713},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38434898853302},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.36418116092681885},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09931457042694092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08035299181938171}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8237568140029907},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6468783617019653},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.623069167137146},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.6095287203788757},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.5889773368835449},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5407161712646484},{"id":"https://openalex.org/C185410017","wikidata":"https://www.wikidata.org/wiki/Q7171778","display_name":"Petascale computing","level":3,"score":0.48925089836120605},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.45837947726249695},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44859328866004944},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.429233580827713},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38434898853302},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.36418116092681885},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09931457042694092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08035299181938171},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3461837.3464516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3461837.3464516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3461837.3464516","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},{"id":"pmh:oai:cwi.nl:31398","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/31398","pdf_url":"https://ir.cwi.nl/pub/31398/31398.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/d205a0ad-ae9c-4d64-9fd9-8237ed7f8619","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/d205a0ad-ae9c-4d64-9fd9-8237ed7f8619","pdf_url":"https://vbn.aau.dk/ws/files/457820492/3461837.3464516.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mhedhbi, A, Lissandrini, M, Kuiper, L, Waudby, J & Sz\u00e1rnyas, G 2021, LSQB : A large-scale subgraph query benchmark. in V Kalavri & N Yakovets (eds), GRADES-NDA '21 : Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021., 8, Association for Computing Machinery (ACM), New York, Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021, pp. 8:1-8:11, 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021, Virtual, Online, China, 06/06/2021. https://doi.org/10.1145/3461837.3464516","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:publications.polymtl.ca:58128","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/58128/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"},{"id":"pmh:oai:pure.atira.dk:publications/d205a0ad-ae9c-4d64-9fd9-8237ed7f8619","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85109887076&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mhedhbi , A , Lissandrini , M , Kuiper , L , Waudby , J &amp; Sz\u00e1rnyas , G 2021 , LSQB: A large-scale subgraph query benchmark . in V Kalavri &amp; N Yakovets (eds) , GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021 . , 8 , Association for Computing Machinery , New York , Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021 , pp. 8:1-8:11 , 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021 , Virtual, Online , China , 06/06/2021 . https://doi.org/10.1145/3461837.3464516","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1145/3461837.3464516","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3461837.3464516","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3461837.3464516","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences &amp; Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6501193486","display_name":"Example-Driven Analytics of Open Knowledge Graphs","funder_award_id":"838216","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3176395835.pdf","grobid_xml":"https://content.openalex.org/works/W3176395835.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1810256132","https://openalex.org/W1983094331","https://openalex.org/W1985229168","https://openalex.org/W2004249506","https://openalex.org/W2015362435","https://openalex.org/W2052569240","https://openalex.org/W2077443691","https://openalex.org/W2090330503","https://openalex.org/W2102643564","https://openalex.org/W2102729946","https://openalex.org/W2104242181","https://openalex.org/W2118791211","https://openalex.org/W2127048411","https://openalex.org/W2157914592","https://openalex.org/W2161956202","https://openalex.org/W2204734806","https://openalex.org/W2232813226","https://openalex.org/W2235780046","https://openalex.org/W2241555812","https://openalex.org/W2396309311","https://openalex.org/W2399656549","https://openalex.org/W2423652555","https://openalex.org/W2474022715","https://openalex.org/W2536131596","https://openalex.org/W2575955864","https://openalex.org/W2578360098","https://openalex.org/W2612186437","https://openalex.org/W2668736619","https://openalex.org/W2799059383","https://openalex.org/W2806672620","https://openalex.org/W2889320527","https://openalex.org/W2898811358","https://openalex.org/W2912952129","https://openalex.org/W2916677846","https://openalex.org/W2922302645","https://openalex.org/W2963066364","https://openalex.org/W2963335540","https://openalex.org/W2965179470","https://openalex.org/W2970204999","https://openalex.org/W3000656992","https://openalex.org/W3013316555","https://openalex.org/W3029446523","https://openalex.org/W3032797161","https://openalex.org/W3035635314","https://openalex.org/W3083859389","https://openalex.org/W3086237447","https://openalex.org/W3093575785","https://openalex.org/W3094660140","https://openalex.org/W3099134950","https://openalex.org/W3105298605","https://openalex.org/W3108071319","https://openalex.org/W3109773888","https://openalex.org/W3112520120","https://openalex.org/W3116457585","https://openalex.org/W3150455880","https://openalex.org/W4244579861","https://openalex.org/W4255889623"],"related_works":["https://openalex.org/W1970451660","https://openalex.org/W2085974832","https://openalex.org/W2114834656","https://openalex.org/W2781598847","https://openalex.org/W2042262100","https://openalex.org/W157008363","https://openalex.org/W72498438","https://openalex.org/W2474015782","https://openalex.org/W2320909518","https://openalex.org/W2622139626"],"abstract_inverted_index":{"We":[0],"introduce":[1],"LSQB,":[2],"a":[3,29,54,101,119],"new":[4],"large-scale":[5],"subgraph":[6,22,37,57],"query":[7,113],"benchmark.":[8],"LSQB":[9,117],"tests":[10,49],"the":[11,40,47,112,126],"performance":[12,52],"of":[13,21,42,103,121],"database":[14],"management":[15],"systems":[16],"on":[17,71,77,82,111],"an":[18],"important":[19],"class":[20],"queries":[23,84,104,123],"overlooked":[24],"by":[25,80,89,109,146],"existing":[26],"benchmarks.":[27,91],"Matching":[28],"labelled":[30],"structural":[31],"graph":[32],"pattern,":[33],"referred":[34,95],"to":[35,61,96],"as":[36,53,97],"matching,":[38],"is":[39,59,143],"focus":[41],"LSQB.":[43],"In":[44],"relational":[45],"terms,":[46],"benchmark":[48,75,135],"DBMSs'":[50],"join":[51],"choke-point":[55],"since":[56],"matching":[58],"equivalent":[60],"multi-way":[62],"joins":[63],"between":[64],"base":[65,68],"Vertex":[66],"and":[67,115,124,139,142],"Edge":[69],"tables":[70],"ID":[72],"attributes.":[73],"The":[74,134],"focuses":[76],"read-heavy":[78],"workloads":[79],"relying":[81],"global":[83],"which":[85],"have":[86],"been":[87],"ignored":[88],"prior":[90],"Global":[92],"queries,":[93,99],"also":[94],"unseeded":[98],"are":[100,106],"type":[102],"that":[105],"only":[107],"constrained":[108],"labels":[110],"vertices":[114],"edges.":[116],"contains":[118],"total":[120],"nine":[122],"leverages":[125],"LDBC":[127],"social":[128],"network":[129],"data":[130],"generator":[131],"for":[132],"scalability.":[133],"gained":[136],"both":[137],"academic":[138],"industrial":[140],"interest":[141],"used":[144],"internally":[145],"5+":[147],"different":[148],"vendors.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-23T08:51:43.019350","created_date":"2021-07-05T00:00:00"}
