{"id":"https://openalex.org/W1525887080","doi":"https://doi.org/10.1109/icde.2015.7113281","title":"Making pattern queries bounded in big graphs","display_name":"Making pattern queries bounded in big graphs","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1525887080","doi":"https://doi.org/10.1109/icde.2015.7113281","mag":"1525887080"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2015.7113281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","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/A5101426208","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0001-7984-3219"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Yang Cao","raw_affiliation_strings":["RCBD and SKLSDE Lab, Beihang University","University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"RCBD and SKLSDE Lab, Beihang University","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070565287","display_name":"Wenfei Fan","orcid":"https://orcid.org/0000-0001-5149-2656"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Wenfei Fan","raw_affiliation_strings":["RCBD and SKLSDE Lab, Beihang University","University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"RCBD and SKLSDE Lab, Beihang University","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110207665","display_name":"Jinpeng Huai","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Huai","raw_affiliation_strings":["RCBD and SKLSDE Lab, Beihang University"],"affiliations":[{"raw_affiliation_string":"RCBD and SKLSDE Lab, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007094260","display_name":"Ruizhe Huang","orcid":"https://orcid.org/0009-0005-6031-3775"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ruizhe Huang","raw_affiliation_strings":["University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101426208"],"corresponding_institution_ids":["https://openalex.org/I82880672","https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":1.8409,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89918092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"161","last_page":"172"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9966999888420105,"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/bounded-function","display_name":"Bounded function","score":0.7530219554901123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6785256862640381},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44083738327026367},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4262341260910034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25831282138824463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1735442578792572}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.7530219554901123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785256862640381},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44083738327026367},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4262341260910034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25831282138824463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1735442578792572},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2015.7113281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/f29775c0-9ea5-4640-bfb3-f7959ddf0c49","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/f29775c0-9ea5-4640-bfb3-f7959ddf0c49","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3649347000","display_name":null,"funder_award_id":"EP/J015377/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8400180575","display_name":null,"funder_award_id":"EP/M025268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W14500723","https://openalex.org/W1567570895","https://openalex.org/W1975906698","https://openalex.org/W1983604014","https://openalex.org/W1994727615","https://openalex.org/W1994924587","https://openalex.org/W2008552727","https://openalex.org/W2023472553","https://openalex.org/W2060359281","https://openalex.org/W2062705952","https://openalex.org/W2066420914","https://openalex.org/W2071989194","https://openalex.org/W2098636939","https://openalex.org/W2098817244","https://openalex.org/W2099683594","https://openalex.org/W2100132188","https://openalex.org/W2108781142","https://openalex.org/W2120857119","https://openalex.org/W2126359798","https://openalex.org/W2126917089","https://openalex.org/W2137560895","https://openalex.org/W2140840007","https://openalex.org/W2146339466","https://openalex.org/W2149568304","https://openalex.org/W2163316275","https://openalex.org/W2169424245","https://openalex.org/W2170616854","https://openalex.org/W2196666180","https://openalex.org/W2603136608","https://openalex.org/W3139415452","https://openalex.org/W4244071313","https://openalex.org/W4298835074","https://openalex.org/W6667161629","https://openalex.org/W6681533767","https://openalex.org/W6684095664"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497"],"abstract_inverted_index":{"It":[0],"is":[1,108,136],"cost-prohibitive":[2],"to":[3,102,114,144],"find":[4],"matches":[5],"Q(G)":[6,121],"of":[7,29,76,80,132,162,168,189],"a":[8,13,22,105,116],"pattern":[9,87,106],"query":[10,117],"Q":[11,71,107,135,150],"in":[12,55,67,129,152],"big":[14],"graph":[15],"G.":[16,81,153],"We":[17,40,99],"approach":[18,181],"this":[19],"by":[20,70,122,186],"fetching":[21],"small":[23],"subgraph":[24,93,174],"G":[25,30,60,124],"<sub":[26,34,61,125],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[27,35,62,126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Q</sub>":[28,36,63,127],"such":[31,58,178],"that":[32,42,59,119],"Q(G":[33],")":[37],"=":[38],"Q(G).":[39],"show":[41],"many":[43],"practical":[44],"patterns":[45],"are":[46,89,170],"effectively":[47,109,138,171],"bounded":[48,151,172],"under":[49],"access":[50,146],"constraints":[51,147],"A":[52,73],"commonly":[53],"found":[54],"real":[56],"life,":[57],"can":[64],"be":[65],"identified":[66],"time":[68,130],"determined":[69],"and":[72,111,148,176],"only,":[74],"independent":[75,131],"the":[77,160,163,183],"size":[78],"|G|":[79],"This":[82],"holds":[83],"no":[84],"matter":[85],"whether":[86,104],"queries":[88,169,179],"localized":[90],"(e.g.,":[91],"via":[92],"isomorphism)":[94],"or":[95],"non-localized":[96],"(graph":[97],"simulation).":[98],"provide":[100],"algorithms":[101],"decide":[103],"bounded,":[110,139],"if":[112],"so,":[113],"generate":[115],"plan":[118],"computes":[120],"accessing":[123],",":[128],"|G|.":[133],"When":[134],"not":[137],"we":[140,157],"give":[141],"an":[142],"algorithm":[143],"extend":[145],"make":[149],"Using":[154],"real-life":[155],"data,":[156],"experimentally":[158],"verify":[159],"effectiveness":[161],"approach,":[164],"e.g.,":[165],"about":[166],"60%":[167],"for":[173,177],"isomorphism,":[175],"our":[180],"outperforms":[182],"conventional":[184],"methods":[185],"4":[187],"orders":[188],"magnitude.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}