{"id":"https://openalex.org/W2012066443","doi":"https://doi.org/10.1145/1516360.1516384","title":"GADDI","display_name":"GADDI","publication_year":2009,"publication_date":"2009-03-24","ids":{"openalex":"https://openalex.org/W2012066443","doi":"https://doi.org/10.1145/1516360.1516384","mag":"2012066443"},"language":"en","primary_location":{"id":"doi:10.1145/1516360.1516384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516384","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516384","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516384","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100669791","display_name":"Shijie Zhang","orcid":"https://orcid.org/0000-0003-4201-7399"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shijie Zhang","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672366","display_name":"Shirong Li","orcid":"https://orcid.org/0000-0003-0227-901X"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shirong Li","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010008442","display_name":"Jiong Yang","orcid":"https://orcid.org/0000-0002-5862-5981"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiong Yang","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100669791"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":null,"apc_paid":null,"fwci":17.5698,"has_fulltext":true,"cited_by_count":238,"citation_normalized_percentile":{"value":0.99277595,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962000250816345,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.7199615836143494},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6749727725982666},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6500399708747864},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5335251688957214},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4521685540676117},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4484465718269348},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2133256494998932},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09486988186836243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199615836143494},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6749727725982666},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6500399708747864},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5335251688957214},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4521685540676117},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4484465718269348},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2133256494998932},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09486988186836243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1516360.1516384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516384","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516384","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/1516360.1516384","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516384","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516384","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6727188481","display_name":"CRI: Infrastructure for Managing and Analyzing Large Scale Biological Data via Utility Computing","funder_award_id":"0551603","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8494216606","display_name":null,"funder_award_id":"551603","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012066443.pdf","grobid_xml":"https://content.openalex.org/works/W2012066443.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W107234074","https://openalex.org/W950821216","https://openalex.org/W1486200420","https://openalex.org/W1510837191","https://openalex.org/W1518994209","https://openalex.org/W1535228720","https://openalex.org/W1604983895","https://openalex.org/W1641749581","https://openalex.org/W1660390307","https://openalex.org/W1962172852","https://openalex.org/W1970259423","https://openalex.org/W1975068437","https://openalex.org/W1984209790","https://openalex.org/W1984220047","https://openalex.org/W1985104873","https://openalex.org/W2013497015","https://openalex.org/W2015921206","https://openalex.org/W2019119722","https://openalex.org/W2019827052","https://openalex.org/W2027943354","https://openalex.org/W2040615703","https://openalex.org/W2050137450","https://openalex.org/W2061901927","https://openalex.org/W2069578775","https://openalex.org/W2085305295","https://openalex.org/W2090474597","https://openalex.org/W2095840978","https://openalex.org/W2100383182","https://openalex.org/W2100586946","https://openalex.org/W2102913801","https://openalex.org/W2110034858","https://openalex.org/W2111036405","https://openalex.org/W2112776329","https://openalex.org/W2118349699","https://openalex.org/W2121773288","https://openalex.org/W2125211684","https://openalex.org/W2126359798","https://openalex.org/W2126969584","https://openalex.org/W2127874029","https://openalex.org/W2129620481","https://openalex.org/W2136593687","https://openalex.org/W2142965177","https://openalex.org/W2143092899","https://openalex.org/W2145631416","https://openalex.org/W2147405597","https://openalex.org/W2147913014","https://openalex.org/W2153301229","https://openalex.org/W2156966633","https://openalex.org/W2162481448","https://openalex.org/W2169310183","https://openalex.org/W2170726034","https://openalex.org/W2171038145","https://openalex.org/W2522853541","https://openalex.org/W2561675875"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W2130160813","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W2391000461","https://openalex.org/W2972311463"],"abstract_inverted_index":{"Currently,":[0],"a":[1,57,74,94,98,108,123,135,164,176],"huge":[2],"amount":[3],"of":[4,32,50,59,69,80,93,102,104,131,152,163,178,192],"biological":[5,114],"data":[6,182],"can":[7],"be":[8],"naturally":[9],"represented":[10],"by":[11,160],"graphs,":[12],"e.g.,":[13],"protein":[14],"interaction":[15],"networks,":[16,19],"gene":[17],"regulatory":[18],"etc.":[20],"The":[21,36],"need":[22],"for":[23],"indexing":[24,56],"large":[25,100,137],"graphs":[26,65],"is":[27,39,107,157],"an":[28],"urgent":[29],"research":[30],"problem":[31],"great":[33],"practical":[34],"importance.":[35],"main":[37],"challenge":[38],"size.":[40],"Each":[41],"graph":[42,76,96,101],"may":[43],"contain":[44],"thousands":[45,103],"(or":[46],"more)":[47],"vertices.":[48],"Most":[49],"the":[51,91,118,129,141,153,161,188],"previous":[52],"work":[53],"focuses":[54],"on":[55],"set":[58],"small":[60],"or":[61],"medium":[62],"sized":[63],"database":[64],"(with":[66],"only":[67],"tens":[68],"vertices)":[70],"and":[71,180,190],"finding":[72,89],"whether":[73],"query":[75,95,154],"occurs":[77],"in":[78,88,97,112,134],"any":[79],"these.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"are":[86,184],"interested":[87],"all":[90],"matches":[92,151],"given":[99],"vertices,":[105],"which":[106,127],"very":[109],"important":[110],"task":[111],"many":[113],"applications.":[115],"This":[116],"increases":[117],"complexity":[119],"significantly.":[120],"We":[121,139],"propose":[122],"novel":[124,142],"distance":[125,144],"measurement":[126],"reintroduces":[128],"idea":[130],"frequent":[132],"substructures":[133],"single":[136],"graph.":[138,155],"devise":[140],"structure":[143],"based":[145],"approach":[146],"(GADDI)":[147],"to":[148,168,186],"efficiently":[149],"find":[150],"GADDI":[156],"further":[158],"optimized":[159],"use":[162],"dynamic":[165],"matching":[166],"scheme":[167],"minimize":[169],"redundant":[170],"calculations.":[171],"Last":[172],"but":[173],"not":[174],"least,":[175],"number":[177],"real":[179],"synthetic":[181],"sets":[183],"used":[185],"evaluate":[187],"efficiency":[189],"scalability":[191],"our":[193],"proposed":[194],"method.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":23},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
