{"id":"https://openalex.org/W2143363350","doi":"https://doi.org/10.14778/1920841.1920887","title":"On graph query optimization in large networks","display_name":"On graph query optimization in large networks","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2143363350","doi":"https://doi.org/10.14778/1920841.1920887","mag":"2143363350"},"language":"en","primary_location":{"id":"doi:10.14778/1920841.1920887","doi":"https://doi.org/10.14778/1920841.1920887","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920887","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,"listed_in":["cwts-core","dongbi-b","norway-2","poland-20","russia-white-list-1","vabb-shw"],"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":"conference"},"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"},"volume":null,"type":"article","is_traditional":true,"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/A5103834032","display_name":"Peixiang Zhao","orcid":"https://orcid.org/0000-0002-8848-5852","observed_orcids":["https://orcid.org/0000-0002-8848-5852"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peixiang Zhao","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019539533","display_name":"Jiawei Han","orcid":"https://orcid.org/0000-0002-3629-2696","observed_orcids":["https://orcid.org/0000-0002-3629-2696"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":17.7928,"has_fulltext":false,"cited_by_count":374,"citation_normalized_percentile":{"value":0.99620916,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"3","issue":"1-2","first_page":"340","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.000699999975040555,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-indexing","display_name":"graph indexing","score":0.9350000023841858},{"id":"https://openalex.org/keywords/subgraph-isomorphism","display_name":"subgraph isomorphism","score":0.8429999947547913},{"id":"https://openalex.org/keywords/shortest-path","display_name":"shortest path","score":0.7110000252723694},{"id":"https://openalex.org/keywords/query-plan-optimization","display_name":"query plan optimization","score":0.9110000133514404},{"id":"https://openalex.org/keywords/large-scale-networks","display_name":"large-scale networks","score":0.6240000128746033},{"id":"https://openalex.org/keywords/graph-search","display_name":"graph search","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866308689117432},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6087255477905273},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6024832725524902},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5853713154792786},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5164391994476318},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5116370320320129},{"id":"https://openalex.org/C128115575","wikidata":"https://www.wikidata.org/wiki/Q5597083","display_name":"Graph factorization","level":5,"score":0.49687984585762024},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4607987701892853},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.44767630100250244},{"id":"https://openalex.org/C36038622","wikidata":"https://www.wikidata.org/wiki/Q5428703","display_name":"Factor-critical graph","level":5,"score":0.4166017174720764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26865071058273315},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2126040756702423},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.2065097987651825},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.17379197478294373},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1714932918548584},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1324496567249298}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/1920841.1920887","doi":"https://doi.org/10.14778/1920841.1920887","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1920841.1920887","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,"listed_in":["cwts-core","dongbi-b","norway-2","poland-20","russia-white-list-1","vabb-shw"],"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":"conference"},"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:10.1.1.174.64","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.nus.edu.sg/%7Evldb2010/proceedings/files/papers/R30.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.220.2511","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.2511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/%7Ehanj/pdf/vldb10_pzhao.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1482680420","https://openalex.org/W1579558005","https://openalex.org/W1598567364","https://openalex.org/W1856037611","https://openalex.org/W1968895412","https://openalex.org/W1975068437","https://openalex.org/W1981585544","https://openalex.org/W1990600049","https://openalex.org/W2011039300","https://openalex.org/W2012066443","https://openalex.org/W2041835352","https://openalex.org/W2043655327","https://openalex.org/W2050137450","https://openalex.org/W2076109400","https://openalex.org/W2100586946","https://openalex.org/W2103626206","https://openalex.org/W2110034858","https://openalex.org/W2111607365","https://openalex.org/W2112200469","https://openalex.org/W2112776329","https://openalex.org/W2126359798","https://openalex.org/W2140840007","https://openalex.org/W2142965177","https://openalex.org/W2147405597","https://openalex.org/W2169310183","https://openalex.org/W2169624745","https://openalex.org/W2171874178","https://openalex.org/W2497849059","https://openalex.org/W2752885492","https://openalex.org/W2903174694","https://openalex.org/W3145128584","https://openalex.org/W4285719527","https://openalex.org/W7029321148","https://openalex.org/W7095077797"],"related_works":["https://openalex.org/W4320489047","https://openalex.org/W2028008873","https://openalex.org/W2092717188","https://openalex.org/W7221192174","https://openalex.org/W4315784872","https://openalex.org/W2582900262","https://openalex.org/W7099112824","https://openalex.org/W2529264794","https://openalex.org/W7103877763","https://openalex.org/W4300565576"],"abstract_inverted_index":{"The":[0],"dramatic":[1],"proliferation":[2],"of":[3,27,61,156,163,215],"sophisticated":[4],"networks":[5],"has":[6],"resulted":[7],"in":[8,115,123,228],"a":[9,33,47,81,130,143,154,161,171,221],"growing":[10],"need":[11],"for":[12],"supporting":[13],"effective":[14,114],"querying":[15],"and":[16,35,74,120,126,135,203,213,224],"mining":[17],"methods":[18],"over":[19],"such":[20],"large-scale":[21],"graph-structured":[22],"data.":[23],"At":[24],"the":[25,51,58,69,90,138,148,184,189,197,211],"core":[26],"many":[28],"advanced":[29],"network":[30,70],"operations":[31],"lies":[32],"common":[34],"critical":[36],"graph":[37,43,52,84,91,116,131,186,190,230],"query":[38,53,92,132,149,172,185,191],"primitive:":[39],"how":[40],"to":[41,57,88,111,142,153,181,187,219],"search":[42,117],"structures":[44],"efficiently":[45],"within":[46],"large":[48,73,95,233],"network?":[49],"Unfortunately,":[50],"is":[54,72,133,150,168],"hard":[55],"due":[56],"NP-complete":[59],"nature":[60],"subgraph":[62],"isomorphism.":[63],"It":[64],"becomes":[65],"even":[66],"challenging":[67],"when":[68],"examined":[71],"diverse.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"present":[80],"high":[82],"performance":[83],"indexing":[85,107,226],"mechanism,":[86],"SPath,":[87,129,216],"address":[89],"problem":[93],"on":[94,200,232],"networks.":[96,234],"SPath":[97,195],"leverages":[98],"decomposed":[99,152],"shortest":[100,157],"paths":[101,176],"around":[102],"vertex":[103],"neighborhood":[104],"as":[105],"basic":[106],"units,":[108],"which":[109,160,217],"prove":[110],"be":[112,220],"both":[113,201],"space":[118],"pruning":[119],"highly":[121],"scalable":[122],"index":[124],"construction":[125],"deployment.":[127],"Via":[128],"processed":[134],"optimized":[136],"beyond":[137],"traditional":[139],"vertex-at-a-time":[140],"fashion":[141],"more":[144,222],"efficient":[145,225],"path-at-a-time":[146],"way:":[147],"first":[151],"set":[155],"paths,":[158],"among":[159],"subset":[162],"candidates":[164],"with":[165,196],"good":[166],"selectivity":[167],"picked":[169],"by":[170],"plan":[173],"optimizer;":[174],"Candidate":[175],"are":[177],"further":[178],"joined":[179],"together":[180],"help":[182],"recover":[183],"finalize":[188],"processing.":[192],"We":[193],"evaluate":[194],"state-of-the-art":[198],"GraphQL":[199],"real":[202],"synthetic":[204],"data":[205],"sets.":[206],"Our":[207],"experimental":[208],"studies":[209],"demonstrate":[210],"effectiveness":[212],"scalability":[214],"proves":[218],"practical":[223],"method":[227],"addressing":[229],"queries":[231]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":33},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":29},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":17}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
