{"id":"https://openalex.org/W2300261494","doi":"https://doi.org/10.1109/tkde.2015.2499201","title":"Efficient Probabilistic Supergraph Search","display_name":"Efficient Probabilistic Supergraph Search","publication_year":2015,"publication_date":"2015-11-10","ids":{"openalex":"https://openalex.org/W2300261494","doi":"https://doi.org/10.1109/tkde.2015.2499201","mag":"2300261494"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2499201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2499201","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"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":true,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["QCIS, The University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"QCIS, The University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064619395","display_name":"Ke Zhu","orcid":"https://orcid.org/0000-0003-3178-3493"},"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":"Ke Zhu","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014952133","display_name":"Gaoping Zhu","orcid":null},"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":"Gaoping Zhu","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100385498"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.936,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83395718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"4","first_page":"965","last_page":"978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9987999796867371,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9940000176429749,"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/notation","display_name":"Notation","score":0.8118888139724731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6375212669372559},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4214220643043518},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09477311372756958}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.8118888139724731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6375212669372559},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4214220643043518},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09477311372756958}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2015.2499201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2499201","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/133705","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/133705","pdf_url":null,"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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/44060","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/44060","pdf_url":null,"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2155887085","display_name":null,"funder_award_id":"DP150102728","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G2376453298","display_name":null,"funder_award_id":"DE140100679","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G240611355","display_name":null,"funder_award_id":"61232006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3150290594","display_name":null,"funder_award_id":"DP130103245","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G5431579937","display_name":null,"funder_award_id":"DP140103578","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"},{"id":"https://openalex.org/G8373397426","display_name":null,"funder_award_id":"DP150103071","funder_id":"https://openalex.org/F4320338275","funder_display_name":"Division of Arctic Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338275","display_name":"Division of Arctic Sciences","ror":"https://ror.org/02trddg58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W655258421","https://openalex.org/W1504401263","https://openalex.org/W1536109649","https://openalex.org/W1570856340","https://openalex.org/W1574901103","https://openalex.org/W1965427702","https://openalex.org/W1970259423","https://openalex.org/W1972100851","https://openalex.org/W1972243925","https://openalex.org/W1975068437","https://openalex.org/W1994931826","https://openalex.org/W1997987084","https://openalex.org/W2006167110","https://openalex.org/W2011039300","https://openalex.org/W2012066443","https://openalex.org/W2013497015","https://openalex.org/W2026553931","https://openalex.org/W2032802336","https://openalex.org/W2050137450","https://openalex.org/W2066223862","https://openalex.org/W2079007492","https://openalex.org/W2080182143","https://openalex.org/W2083235381","https://openalex.org/W2087829218","https://openalex.org/W2097694057","https://openalex.org/W2099225351","https://openalex.org/W2102913801","https://openalex.org/W2110034858","https://openalex.org/W2112776329","https://openalex.org/W2118349699","https://openalex.org/W2132231137","https://openalex.org/W2133695619","https://openalex.org/W2137442080","https://openalex.org/W2139694815","https://openalex.org/W2140840007","https://openalex.org/W2143363350","https://openalex.org/W2150061878","https://openalex.org/W2152609228","https://openalex.org/W2169310183","https://openalex.org/W2170726034","https://openalex.org/W2314240464","https://openalex.org/W2950627632","https://openalex.org/W6634328847","https://openalex.org/W6676966293","https://openalex.org/W6682832507","https://openalex.org/W6685146747"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2142036596"],"abstract_inverted_index":{"Given":[0],"a":[1,14,42,79,88,95],"query":[2,90],"graph":[3,38,91],"<inline-formula><tex-math":[4,11,24,28,81,92,98,106,117,121,127],"notation=\"LaTeX\">$q$</tex-math></inline-formula>":[5,93],",":[6,30,100],"retrieving":[7],"the":[8,54,70,103,114,134,140,154,160,190,213],"data":[9,20,39,86,104,181,211],"graphs":[10,21,105],"notation=\"LaTeX\">$g$</tex-math></inline-formula>":[12,29],"from":[13,108],"set":[15,80],"<inline-formula>":[16,109],"<tex-math":[17,110],"notation=\"LaTeX\">$D$</tex-math></inline-formula>":[18,111],"of":[19,45,56,72,84,116,136,142,192,217],"such":[22,112],"that":[23,76,113,132],"notation=\"LaTeX\">$q$</tex-math>":[25,118],"</inline-formula>":[26,119],"contains":[27],"namely":[31],"supergraph":[32,74,155],"containment":[33,156],"search,":[34],"is":[35,49,123,145,149],"fundamental":[36],"in":[37,65,220],"analysis":[40],"with":[41,189],"wide":[43],"range":[44],"real":[46,63,208],"applications.":[47],"It":[48],"very":[50],"challenging":[51,152],"due":[52],"to":[53,177],"NP-Completeness":[55,135],"subgraph":[57,137],"isomorphism":[58,138],"testing.":[59],"Driven":[60],"by":[61],"many":[62],"applications,":[64],"this":[66],"paper,":[67],"we":[68,101,163],"study":[69],"problem":[71,141],"probabilistic":[73,172],"search;":[75],"is,":[77],"given":[78],"notation=\"LaTeX\">$D$":[82],"</tex-math></inline-formula>":[83],"uncertain":[85],"graphs,":[87],"certain":[89],"and":[94,174,195,209,215],"probability":[96,115],"threshold":[97],"notation=\"LaTeX\">$\\theta$</tex-math></inline-formula>":[99,128],"retrieve":[102],"notation=\"LaTeX\">$g^{u}$</tex-math></inline-formula>":[107,122],"containing":[120],"not":[124],"smaller":[125],"than":[126,153],".":[129],"We":[130],"show":[131],"besides":[133],"testing,":[139],"calculating":[143],"probabilities":[144],"#P-Complete;":[146],"thus,":[147],"it":[148],"even":[150],"more":[151],"search.":[157],"To":[158],"tackle":[159],"computational":[161],"hardness,":[162],"first":[164],"propose":[165],"two":[166],"novel":[167],"pruning":[168],"rules,":[169],"based":[170],"on":[171,206],"connectivity":[173],"features,":[175],"respectively,":[176],"efficiently":[178],"prune":[179],"non-promising":[180,197],"graphs.":[182],"Then,":[183],"efficient":[184],"verification":[185],"algorithms":[186],"are":[187],"developed":[188],"aim":[191],"sharing":[193],"computation":[194,198],"terminating":[196],"as":[199,201],"early":[200],"possible.":[202],"Extensive":[203],"performance":[204],"studies":[205],"both":[207],"synthetic":[210],"demonstrate":[212],"efficiency":[214],"effectiveness":[216],"our":[218],"techniques":[219],"practice.":[221]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
