{"id":"https://openalex.org/W2100586946","doi":"https://doi.org/10.1145/1376616.1376660","title":"Graphs-at-a-time","display_name":"Graphs-at-a-time","publication_year":2008,"publication_date":"2008-06-09","ids":{"openalex":"https://openalex.org/W2100586946","doi":"https://doi.org/10.1145/1376616.1376660","mag":"2100586946"},"language":"en","primary_location":{"id":"doi:10.1145/1376616.1376660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","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/A5057813378","display_name":"Huahai He","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huahai He","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036639779","display_name":"Ambuj K. Singh","orcid":"https://orcid.org/0000-0002-1997-7140"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ambuj K. Singh","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057813378"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":18.6792,"has_fulltext":false,"cited_by_count":446,"citation_normalized_percentile":{"value":0.99379076,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"405","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9995999932289124,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.6960174441337585},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.6030395030975342},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.564409613609314},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5145134925842285},{"id":"https://openalex.org/keywords/comparability-graph","display_name":"Comparability graph","score":0.5017776489257812},{"id":"https://openalex.org/keywords/graph-rewriting","display_name":"Graph rewriting","score":0.48761048913002014},{"id":"https://openalex.org/keywords/cograph","display_name":"Cograph","score":0.47644689679145813},{"id":"https://openalex.org/keywords/clique-width","display_name":"Clique-width","score":0.42781245708465576},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.4228397607803345},{"id":"https://openalex.org/keywords/graph-product","display_name":"Graph product","score":0.41907113790512085},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.3620017170906067},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.3595362901687622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.35439926385879517},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.1815437376499176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960174441337585},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.6030395030975342},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.564409613609314},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5145134925842285},{"id":"https://openalex.org/C198414033","wikidata":"https://www.wikidata.org/wiki/Q5155607","display_name":"Comparability graph","level":5,"score":0.5017776489257812},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.48761048913002014},{"id":"https://openalex.org/C59824394","wikidata":"https://www.wikidata.org/wiki/Q5141281","display_name":"Cograph","level":5,"score":0.47644689679145813},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.42781245708465576},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.4228397607803345},{"id":"https://openalex.org/C68103157","wikidata":"https://www.wikidata.org/wiki/Q569347","display_name":"Graph product","level":5,"score":0.41907113790512085},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.3620017170906067},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.3595362901687622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.35439926385879517},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.1815437376499176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1376616.1376660","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1376616.1376660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1489285575","https://openalex.org/W1491063910","https://openalex.org/W1502577746","https://openalex.org/W1508113248","https://openalex.org/W1577544661","https://openalex.org/W1690273063","https://openalex.org/W1975068437","https://openalex.org/W1991271936","https://openalex.org/W1994924587","https://openalex.org/W1997520998","https://openalex.org/W2002089154","https://openalex.org/W2022015062","https://openalex.org/W2027943354","https://openalex.org/W2041021943","https://openalex.org/W2050137450","https://openalex.org/W2076109400","https://openalex.org/W2079007492","https://openalex.org/W2101282805","https://openalex.org/W2102563702","https://openalex.org/W2103599442","https://openalex.org/W2110034858","https://openalex.org/W2111036405","https://openalex.org/W2112200469","https://openalex.org/W2112776329","https://openalex.org/W2128404249","https://openalex.org/W2137913010","https://openalex.org/W2139288551","https://openalex.org/W2142965177","https://openalex.org/W2157529519","https://openalex.org/W2163040665","https://openalex.org/W2169310183","https://openalex.org/W2169361120","https://openalex.org/W2242459625","https://openalex.org/W2753710282","https://openalex.org/W3149201378","https://openalex.org/W4302339081","https://openalex.org/W4312512934","https://openalex.org/W6629520463"],"related_works":["https://openalex.org/W2393701947","https://openalex.org/W2397707437","https://openalex.org/W2743544037","https://openalex.org/W167435155","https://openalex.org/W4324266426","https://openalex.org/W2890359346","https://openalex.org/W2035395114","https://openalex.org/W2261042262","https://openalex.org/W3166222118","https://openalex.org/W2246837390"],"abstract_inverted_index":{"With":[0],"the":[1,51,76,84,94,99,124,136,158,164],"prevalence":[2],"of":[3,9,54,64,71,78,123,138,147,150,157,163,187],"graph":[4,35,72,85,90,105,178],"data":[5],"in":[6,97],"a":[7,17,31,89,109,145],"variety":[8],"domains,":[10],"there":[11],"is":[12,102,112,132],"an":[13,182],"increasing":[14],"need":[15],"for":[16,34,68,114],"language":[18,33],"to":[19,83,104,135],"query":[20,32,58],"and":[21,27,44,56,108,153,161,171],"manipulate":[22],"graphs":[23,49,131,174],"with":[24],"heterogeneous":[25],"attributes":[26,40],"structures.":[28],"We":[29,87,141],"propose":[30],"databases":[36],"that":[37,176],"supports":[38],"arbitrary":[39],"on":[41,169],"nodes,":[42],"edges,":[43],"graphs.":[45,65,117],"In":[46],"this":[47,143],"language,":[48],"are":[50],"basic":[52],"unit":[53],"information":[55],"each":[57],"manipulates":[59],"one":[60],"or":[61],"more":[62],"collections":[63],"To":[66],"allow":[67],"flexible":[69],"compositions":[70],"structures,":[73],"we":[74,119],"extend":[75],"notion":[77],"formal":[79],"languages":[80],"from":[81,93],"strings":[82],"domain.":[86],"present":[88],"algebra":[91,96],"extended":[92],"relational":[95],"which":[98],"selection":[100,125],"operator":[101,111],"generalized":[103],"pattern":[106],"matching":[107,128],"composition":[110],"introduced":[113],"rewriting":[115],"matched":[116],"Then,":[118],"investigate":[120],"access":[121],"methods":[122],"operator.":[126],"Pattern":[127],"over":[129],"large":[130,173],"challenging":[133],"due":[134],"NP-completeness":[137],"subgraph":[139],"isomorphism.":[140],"address":[142],"by":[144,185],"combination":[146],"techniques:":[148],"use":[149],"neighborhood":[151],"subgraphs":[152],"profiles,":[154],"joint":[155],"reduction":[156],"search":[159,165],"space,":[160],"optimization":[162],"order.":[166],"Experimental":[167],"results":[168],"real":[170],"synthetic":[172],"demonstrate":[175],"our":[177],"specific":[179],"optimizations":[180],"outperform":[181],"SQL-based":[183],"implementation":[184],"orders":[186],"magnitude.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":32},{"year":2015,"cited_by_count":28},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":28},{"year":2012,"cited_by_count":23}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}