{"id":"https://openalex.org/W4413978205","doi":"https://doi.org/10.14778/3749646.3749693","title":"Subgraph Matching: A New Decomposition Based Approach","display_name":"Subgraph Matching: A New Decomposition Based Approach","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4413978205","doi":"https://doi.org/10.14778/3749646.3749693"},"language":"en","primary_location":{"id":"doi:10.14778/3749646.3749693","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749693","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,"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":"journal"},"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"},"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/A5101784083","display_name":"Qiyan Li","orcid":"https://orcid.org/0000-0003-1057-5820"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyan Li","raw_affiliation_strings":["The Chinese Univ. of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese Univ. of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111733992","display_name":"Zongyan He","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyan He","raw_affiliation_strings":["The Chinese Univ. of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101784083"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28771648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"11","first_page":"4282","last_page":"4294"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926000237464905,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9765999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6526710987091064},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6121529936790466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4346684515476227},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3578742742538452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3121809959411621},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13712269067764282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11216163635253906}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6526710987091064},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6121529936790466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4346684515476227},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3578742742538452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3121809959411621},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13712269067764282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11216163635253906},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3749646.3749693","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749693","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,"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":"journal"},"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2112262143","https://openalex.org/W2118212234","https://openalex.org/W2126359798","https://openalex.org/W2140840007","https://openalex.org/W2147405597","https://openalex.org/W2423871547","https://openalex.org/W2556729111","https://openalex.org/W2577167493","https://openalex.org/W2578829886","https://openalex.org/W2589378591","https://openalex.org/W2798931485","https://openalex.org/W2889320527","https://openalex.org/W2948359422","https://openalex.org/W2954964309","https://openalex.org/W2970204999","https://openalex.org/W2970871269","https://openalex.org/W3021196172","https://openalex.org/W3084963370","https://openalex.org/W3094660140","https://openalex.org/W3097653461","https://openalex.org/W3109773888","https://openalex.org/W3176544432","https://openalex.org/W3208942821","https://openalex.org/W3212567773","https://openalex.org/W4244924737","https://openalex.org/W4281613391","https://openalex.org/W4286447321","https://openalex.org/W4375928198","https://openalex.org/W4379800800","https://openalex.org/W4380433167","https://openalex.org/W4380433208","https://openalex.org/W4380551964","https://openalex.org/W4381327058","https://openalex.org/W4381328644","https://openalex.org/W4383749419","https://openalex.org/W4393183677","https://openalex.org/W4399163955","https://openalex.org/W4399174482","https://openalex.org/W4399208469","https://openalex.org/W4400909503","https://openalex.org/W4403690984","https://openalex.org/W4407679991","https://openalex.org/W4407694792","https://openalex.org/W4412340925"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"We":[0,201,239],"study":[1],"the":[2,48,69,111,117,133,144,162,171,223,236,260],"subgraph":[3,11,80,193],"matching":[4,194],"problem,":[5],"which":[6,38,84],"is":[7,85],"to":[8,131,142,164,182,234],"find":[9,61],"all":[10],"isomorphisms":[12],"of":[13,37,81,113,135],"a":[14,20,28,54,74,79,88,91,191,203,218,229],"given":[15],"pattern":[16,56],"graph":[17,22,57],"p":[18,58,82,94,136],"in":[19,76,93,97,100,167,174],"data":[21],"G.":[23],"Traditional":[24],"approaches":[25,140,158,179],"typically":[26],"use":[27],"backtracking":[29],"search":[30],"approach":[31,106,207],"or":[32],"worst-case":[33],"optimal":[34,63,210],"join,":[35],"both":[36],"directly":[39],"operate":[40],"on":[41,68,217],"p.":[42],"In":[43,186],"this":[44,187],"paper,":[45,188],"we":[46,60,189,227],"revisit":[47],"tree":[49,64,103,145,176],"decomposition":[50,65,104,146,177],"based":[51,67,105,178,216],"approach.":[52],"For":[53],"complex":[55],",":[59,83],"its":[62],"T":[66,77],"fractional":[70],"hypertree":[71],"width,":[72],"where":[73],"node":[75,92],"represents":[78],"also":[86],"called":[87],"bag,":[89],"and":[90,109,126,152,247],"may":[95],"appear":[96],"multiple":[98,168],"bags":[99],"T.":[101],"The":[102],"initially":[107],"computes":[108],"materializes":[110],"matches":[112,122,134],"subgraphs":[114],"specified":[115],"by":[116],"bags,":[118],"then":[119],"treats":[120],"these":[121],"as":[123],"new":[124,192,204,230],"relations":[125],"employs":[127],"an":[128],"acyclic":[129],"join":[130,149,155],"compute":[132],"itself.":[137],"However,":[138],"previous":[139,154,175,254],"fail":[141],"integrate":[143],"with":[147],"effective":[148],"attribute":[150,156,211],"orders,":[151],"conversely,":[153],"ordering":[157],"do":[159],"not":[160,257],"consider":[161],"need":[163],"share":[165],"computations":[166],"bags.":[169],"Additionally,":[170],"materialization":[172,232],"strategies":[173],"can":[180,248,256],"lead":[181],"high":[183],"computation":[184,224,237],"costs.":[185],"propose":[190,202],"algorithm":[195],"ASDMatch":[196,243],"(Adaptive":[197],"Shared":[198],"Decomposition-based":[199],"matching).":[200],"dynamic":[205],"programming":[206],"that":[208,221,241,253],"finds":[209],"orders":[212],"for":[213],"each":[214],"bag":[215],"cost":[219],"model":[220],"incorporates":[222],"sharing.":[225],"Furthermore,":[226],"introduce":[228],"adaptive":[231],"strategy":[233],"reduce":[235],"cost.":[238],"confirmed":[240],"our":[242],"outperforms":[244],"state-of-the-art":[245],"algorithms":[246,255],"process":[249],"many":[250],"challenging":[251],"queries":[252],"finish":[258],"within":[259],"time":[261],"limit.":[262]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}