{"id":"https://openalex.org/W1974124880","doi":"https://doi.org/10.1145/1516360.1516416","title":"G-hash","display_name":"G-hash","publication_year":2009,"publication_date":"2009-03-24","ids":{"openalex":"https://openalex.org/W1974124880","doi":"https://doi.org/10.1145/1516360.1516416","mag":"1974124880","pmid":"https://pubmed.ncbi.nlm.nih.gov/20428322"},"language":"en","primary_location":{"id":"doi:10.1145/1516360.1516416","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516416","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516416","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516416","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100455472","display_name":"Xiaohong Wang","orcid":"https://orcid.org/0000-0003-2636-8260"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaohong Wang","raw_affiliation_strings":["University of Kansas, Lawrence, KS"],"affiliations":[{"raw_affiliation_string":"University of Kansas, Lawrence, KS","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045324120","display_name":"Aaron Smalter","orcid":null},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Smalter","raw_affiliation_strings":["University of Kansas, Lawrence, KS"],"affiliations":[{"raw_affiliation_string":"University of Kansas, Lawrence, KS","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105352906","display_name":"Jun Huan","orcid":"https://orcid.org/0000-0003-4929-2617"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Huan","raw_affiliation_strings":["University of Kansas, Lawrence, KS"],"affiliations":[{"raw_affiliation_string":"University of Kansas, Lawrence, KS","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061260927","display_name":"Gerald H. Lushington","orcid":"https://orcid.org/0000-0001-5821-4253"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerald H. Lushington","raw_affiliation_strings":["University of Kansas, Lawrence, KS"],"affiliations":[{"raw_affiliation_string":"University of Kansas, Lawrence, KS","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100455472"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":4.2645,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94521378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"360","issue":null,"first_page":"472","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"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":1.0,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"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/T11106","display_name":"Data Management and Algorithms","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73320472240448},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6060584187507629},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5677299499511719},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5360197424888611},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.5201683044433594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49639302492141724},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4358241558074951},{"id":"https://openalex.org/keywords/cheminformatics","display_name":"Cheminformatics","score":0.42929431796073914},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4274093508720398},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3839751183986664},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32646268606185913},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1958375871181488},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1683315634727478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11632704734802246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73320472240448},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6060584187507629},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5677299499511719},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5360197424888611},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.5201683044433594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49639302492141724},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4358241558074951},{"id":"https://openalex.org/C68762167","wikidata":"https://www.wikidata.org/wiki/Q910164","display_name":"Cheminformatics","level":2,"score":0.42929431796073914},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4274093508720398},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3839751183986664},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32646268606185913},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1958375871181488},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1683315634727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11632704734802246},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1516360.1516416","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516416","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516416","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"},{"id":"pmid:20428322","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20428322","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in database technology : proceedings. International Conference on Extending Database Technology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:2860326","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2860326","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Adv Database Technol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/1516360.1516416","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1516360.1516416","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1516360.1516416","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/G1809214290","display_name":null,"funder_award_id":"R01 GM 868665","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7208841708","display_name":null,"funder_award_id":"P50 GM069663","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1974124880.pdf","grobid_xml":"https://content.openalex.org/works/W1974124880.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1486089539","https://openalex.org/W1576213419","https://openalex.org/W1587559447","https://openalex.org/W1638267571","https://openalex.org/W1640748652","https://openalex.org/W1816257748","https://openalex.org/W1835509607","https://openalex.org/W2010541316","https://openalex.org/W2017091502","https://openalex.org/W2027943354","https://openalex.org/W2032802336","https://openalex.org/W2035753075","https://openalex.org/W2036265926","https://openalex.org/W2041850070","https://openalex.org/W2046509566","https://openalex.org/W2050137450","https://openalex.org/W2071910845","https://openalex.org/W2075186867","https://openalex.org/W2080713965","https://openalex.org/W2096729078","https://openalex.org/W2096864392","https://openalex.org/W2100080493","https://openalex.org/W2100674109","https://openalex.org/W2101654328","https://openalex.org/W2103626206","https://openalex.org/W2106969242","https://openalex.org/W2110034858","https://openalex.org/W2111036405","https://openalex.org/W2112200469","https://openalex.org/W2112776329","https://openalex.org/W2117169652","https://openalex.org/W2120121938","https://openalex.org/W2122929441","https://openalex.org/W2130479394","https://openalex.org/W2136109916","https://openalex.org/W2136507529","https://openalex.org/W2137913010","https://openalex.org/W2141955227","https://openalex.org/W2142965177","https://openalex.org/W2145546477","https://openalex.org/W2147286743","https://openalex.org/W2147913014","https://openalex.org/W2148603752","https://openalex.org/W2161201865","https://openalex.org/W2161723275","https://openalex.org/W2169310183","https://openalex.org/W2177508090","https://openalex.org/W2324789149","https://openalex.org/W2990138404","https://openalex.org/W3002694247","https://openalex.org/W3119651796","https://openalex.org/W4237386736","https://openalex.org/W4249845687","https://openalex.org/W4285719527","https://openalex.org/W6638258969","https://openalex.org/W6676966293","https://openalex.org/W6677609940","https://openalex.org/W6683767297","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W1573015311","https://openalex.org/W2889938001","https://openalex.org/W4386509167","https://openalex.org/W3165034028","https://openalex.org/W1570419641","https://openalex.org/W4293771607","https://openalex.org/W2296499206","https://openalex.org/W132037564","https://openalex.org/W3210319767","https://openalex.org/W2041478992"],"abstract_inverted_index":{"Structured":[0],"data":[1,15,101,180],"including":[2,55],"sets,":[3],"sequences,":[4],"trees":[5],"and":[6,22,64,92,103,126,140,158,172,195,210,235,251,282,299,314],"graphs,":[7],"pose":[8],"significant":[9],"challenges":[10],"to":[11,113,144,153,206,228,288,306],"fundamental":[12],"aspects":[13],"of":[14,29,53,69,84,118,184,213,233],"management":[16],"such":[17,310],"as":[18,39,304,311],"efficient":[19,175,208],"storage,":[20],"indexing,":[21],"similarity":[23,32,45,98,117,159,170,185,232,238,280],"search.":[24,99],"With":[25],"the":[26,70,82,89,115,214,219,230,265,278,283],"fast":[27,211,237],"accumulation":[28],"graph":[30,35,72,91,107,132,149,155,162,179,223,259],"databases,":[31],"search":[33,46,160,212],"in":[34,49,122,147,161,199],"databases":[36,163],"has":[37,47],"emerged":[38],"an":[40,174],"important":[41],"research":[42],"topic.":[43],"Graph":[44],"applications":[48],"a":[50,148,167,222],"wide":[51],"range":[52],"domains":[54],"cheminformatics,":[56],"bioinformatics,":[57],"sensor":[58],"network":[59,62],"management,":[60,63],"social":[61],"XML":[65],"documents,":[66],"among":[67],"others.Most":[68],"current":[71],"indexing":[73,176,293,296,308],"methods":[74,309],"focus":[75],"on":[76,256],"subgraph":[77],"query":[78,90,239,301],"processing,":[79],"i.e.":[80],"determining":[81],"set":[83],"database":[85,290],"graphs":[86,234],"that":[87,264],"contains":[88],"hence":[93],"do":[94],"not":[95],"directly":[96],"support":[97,207],"In":[100],"mining":[102],"machine":[104],"learning,":[105,131],"various":[106],"kernel":[108,133,156,224],"functions":[109,134],"have":[110,135,242,248,252],"been":[111],"designed":[112],"capture":[114,229],"intrinsic":[116,231],"graphs.":[119,200],"Though":[120],"successful":[121],"constructing":[123],"accurate":[124],"predictive":[125],"classification":[127],"models":[128],"for":[129,178,236,271],"supervised":[130],"(i)":[136,166],"high":[137],"computational":[138],"complexity":[139],"(ii)":[141,173],"non-trivial":[142],"difficulty":[143],"be":[145],"indexed":[146],"database.Our":[150],"objective":[151],"is":[152,204,226,286],"bridge":[154],"function":[157,225],"by":[164],"proposing":[165],"novel":[168],"kernel-based":[169],"measurement":[171,186,281],"structure":[177,285],"management.":[181],"Our":[182,261],"method":[183,267],"builds":[187],"upon":[188],"local":[189,216],"features":[190],"extracted":[191,215],"from":[192],"each":[193],"node":[194],"their":[196],"neighboring":[197],"nodes":[198],"A":[201],"hash":[202,220],"table":[203],"utilized":[205],"storage":[209],"features.":[217],"Using":[218],"table,":[221],"defined":[227],"processing.":[240],"We":[241],"implemented":[243],"our":[244],"method,":[245],"which":[246],"we":[247],"named":[249],"G-hash,":[250],"demonstrated":[253],"its":[254],"utility":[255],"large":[257,289],"chemical":[258],"databases.":[260],"results":[262],"show":[263],"G-hash":[266],"achieves":[268],"state-of-the-art":[269,307],"performance":[270],"k-nearest":[272],"neighbor":[273],"(k-NN)":[274],"classification.":[275],"Most":[276],"importantly,":[277],"new":[279],"index":[284],"scalable":[287],"with":[291],"smaller":[292],"size,":[294],"faster":[295,300],"construction":[297],"time,":[298],"processing":[302],"time":[303],"compared":[305],"C-tree,":[312],"gIndex,":[313],"GraphGrep.":[315]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}
