{"id":"https://openalex.org/W3012786227","doi":"https://doi.org/10.1145/3366423.3380184","title":"Smaller, Faster &amp; Lighter KNN Graph Constructions","display_name":"Smaller, Faster &amp; Lighter KNN Graph Constructions","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012786227","doi":"https://doi.org/10.1145/3366423.3380184","mag":"3012786227"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380184","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049321288","display_name":"Rachid Guerraoui","orcid":"https://orcid.org/0000-0002-4794-8902"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Rachid Guerraoui","raw_affiliation_strings":["EPFL","LPD - Distributed Programming Laboratory (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne EPFL IC LPD Bat INR 326 Station 14 1015 Lausanne - Suisse)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EPFL","institution_ids":[]},{"raw_affiliation_string":"LPD - Distributed Programming Laboratory (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne EPFL IC LPD Bat INR 326 Station 14 1015 Lausanne - Suisse)","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031849486","display_name":"Anne-Marie Kermarrec","orcid":"https://orcid.org/0000-0001-8187-724X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anne-Marie Kermarrec","raw_affiliation_strings":["Mediego / EPFL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mediego / EPFL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015367586","display_name":"Olivier Ruas","orcid":"https://orcid.org/0000-0002-6862-9046"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Olivier Ruas","raw_affiliation_strings":["Peking University","WIDE - the World Is Distributed Exploring the tension between scale and coordination (Campus de Beaulieu\r\n35042 Rennes cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"WIDE - the World Is Distributed Exploring the tension between scale and coordination (Campus de Beaulieu\r\n35042 Rennes cedex - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061628886","display_name":"Fran\u00e7ois Ta\u0131\u0308ani","orcid":"https://orcid.org/0000-0002-9692-5678"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Ta\u00efani","raw_affiliation_strings":["Univ Rennes Inria CNRS IRISA","WIDE - the World Is Distributed Exploring the tension between scale and coordination (Campus de Beaulieu\r\n35042 Rennes cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes Inria CNRS IRISA","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"WIDE - the World Is Distributed Exploring the tension between scale and coordination (Campus de Beaulieu\r\n35042 Rennes cedex - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049321288"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.2239,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83791479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1060","last_page":"1070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T11719","display_name":"Data Quality and Management","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9879000186920166,"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/jaccard-index","display_name":"Jaccard index","score":0.7505272626876831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946027278900146},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5527282953262329},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5284411907196045},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46776124835014343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46297141909599304},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.45882630348205566},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45142191648483276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.385763943195343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28077930212020874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22230172157287598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20659562945365906}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7505272626876831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946027278900146},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5527282953262329},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5284411907196045},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46776124835014343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46297141909599304},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.45882630348205566},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45142191648483276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.385763943195343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28077930212020874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22230172157287598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20659562945365906},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3366423.3380184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380184","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-02888286v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-02888286","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WWW '20 - The Web Conference 2020, Apr 2020, Taipei Taiwan, France. pp.1060-1070, &#x27E8;10.1145/3366423.3380184&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:infoscience.epfl.ch:277918","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/169157","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380184","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1566717980","https://openalex.org/W1770242755","https://openalex.org/W1968018561","https://openalex.org/W2012833704","https://openalex.org/W2013390525","https://openalex.org/W2016362819","https://openalex.org/W2022097286","https://openalex.org/W2068015060","https://openalex.org/W2080234606","https://openalex.org/W2106309168","https://openalex.org/W2109426455","https://openalex.org/W2110026675","https://openalex.org/W2110953678","https://openalex.org/W2119067110","https://openalex.org/W2132069633","https://openalex.org/W2133296809","https://openalex.org/W2134479759","https://openalex.org/W2136114025","https://openalex.org/W2136891251","https://openalex.org/W2138064700","https://openalex.org/W2147717514","https://openalex.org/W2152565070","https://openalex.org/W2155106456","https://openalex.org/W2159094788","https://openalex.org/W2161676522","https://openalex.org/W2170605888","https://openalex.org/W2180662617","https://openalex.org/W2188225224","https://openalex.org/W2219888463","https://openalex.org/W2228830251","https://openalex.org/W2439904216","https://openalex.org/W2885727077","https://openalex.org/W2934727176","https://openalex.org/W4249843299","https://openalex.org/W4253848051"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W3127229356","https://openalex.org/W2000801317","https://openalex.org/W2294604808","https://openalex.org/W2702570413","https://openalex.org/W2011017119"],"abstract_inverted_index":{"We":[0,16],"propose":[1],"GoldFinger,":[2],"a":[3,40,53,107,124],"new":[4],"compact":[5,61],"and":[6,33,74,132],"fast-to-compute":[7],"binary":[8],"representation":[9,62],"of":[10,20,28,43,63,79,93,101,114,122],"datasets":[11,86],"to":[12,49,95,98,109,129],"approximate":[13],"Jaccard\u2019s":[14],"index.":[15],"illustrate":[17],"the":[18,23,60,64,80,99,119,135],"effectiveness":[19],"GoldFinger":[21,36],"on":[22,83],"emblematic":[24],"big":[25],"data":[26,65,103],"problem":[27],"K-Nearest-Neighbor":[29],"(KNN)":[30],"graph":[31],"construction":[32],"show":[34,58,133],"that":[35,59,88,134],"can":[37],"drastically":[38],"accelerate":[39],"large":[41],"range":[42],"existing":[44],"KNN":[45,115],"algorithms":[46],"with":[47],"little":[48],"no":[50],"overhead.":[51],"As":[52],"side":[54],"effect,":[55],"we":[56,126],"also":[57],"protects":[66],"users\u2019":[67],"privacy":[68],"for":[69],"free":[70],"by":[71],"providing":[72],"k-anonymity":[73],"l-diversity.":[75],"Our":[76],"extensive":[77],"evaluation":[78],"resulting":[81],"approach":[82,90],"several":[84],"realistic":[85],"shows":[87],"our":[89],"delivers":[91],"speedups":[92],"up":[94],"78.9%":[96],"compared":[97],"use":[100],"raw":[102],"while":[104],"only":[105],"incurring":[106],"negligible":[108],"moderate":[110],"loss":[111,136],"in":[112,137],"terms":[113],"quality.":[116],"To":[117],"convey":[118],"practical":[120],"value":[121],"such":[123],"scheme,":[125],"apply":[127],"it":[128],"item":[130],"recommendation":[131,138],"quality":[139],"is":[140],"negligible.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2020-03-27T00:00:00"}
