{"id":"https://openalex.org/W2787819685","doi":"https://doi.org/10.1145/3178876.3186115","title":"Any-k","display_name":"Any-k","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2787819685","doi":"https://doi.org/10.1145/3178876.3186115","mag":"2787819685","pmid":"https://pubmed.ncbi.nlm.nih.gov/30003197"},"language":"en","primary_location":{"id":"doi:10.1145/3178876.3186115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186115","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186115&type=pdf","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 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186115&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiaofeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Deepak Ajwani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105201","display_name":"Nokia (Ireland)","ror":"https://ror.org/01dcaj468","country_code":"IE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210105201"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Deepak Ajwani","raw_affiliation_strings":["Nokia Bell Labs, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Dublin, Ireland","institution_ids":["https://openalex.org/I4210105201"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wolfgang Gatterbauer","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wolfgang Gatterbauer","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Patrick K. Nicholson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105201","display_name":"Nokia (Ireland)","ror":"https://ror.org/01dcaj468","country_code":"IE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210105201"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Patrick K. Nicholson","raw_affiliation_strings":["Nokia Bell Labs, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Dublin, Ireland","institution_ids":["https://openalex.org/I4210105201"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mirek Riedewald","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mirek Riedewald","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alessandra Sala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105201","display_name":"Nokia (Ireland)","ror":"https://ror.org/01dcaj468","country_code":"IE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210105201"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Alessandra Sala","raw_affiliation_strings":["Nokia Bell Labs, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Dublin, Ireland","institution_ids":["https://openalex.org/I4210105201"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.8291,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72324099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"489","last_page":"498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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/T12288","display_name":"Optimization and Search Problems","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/pruning","display_name":"Pruning","score":0.6542999744415283},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.557699978351593},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.541700005531311},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.49149999022483826},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48820000886917114},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4778999984264374},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4359000027179718},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4023999869823456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084000110626221},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6542999744415283},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.557699978351593},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.49149999022483826},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40880000591278076},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.3337000012397766},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614000141620636}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/3178876.3186115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186115","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186115&type=pdf","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 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},{"id":"pmid:30003197","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30003197","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":"Proceedings of the ... International World-Wide Web Conference. International WWW Conference","raw_type":null},{"id":"pmh:oai:arXiv.org:1802.06060","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.06060","pdf_url":"https://arxiv.org/pdf/1802.06060","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:researchrepository.ucd.ie:10197/9890","is_oa":true,"landing_page_url":"http://hdl.handle.net/10197/9890","pdf_url":"http://hdl.handle.net/10197/9890","source":{"id":"https://openalex.org/S4306402280","display_name":"Research Repository UCD (University College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100930933","host_organization_name":"University College Dublin","host_organization_lineage":["https://openalex.org/I100930933"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"},{"id":"pmh:oai:europepmc.org:5110694","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6037532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6037532","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6037532","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc Int World Wide Web Conf","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3178876.3186115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186115","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186115&type=pdf","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 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1582928494","display_name":null,"funder_award_id":"R01 NS091421","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2699994585","display_name":"CAREER: Scaling Approximate Inference and Approximation-Aware Learning","funder_award_id":"1762268","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4700852728","display_name":null,"funder_award_id":"R01 NS","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2787819685.pdf","grobid_xml":"https://content.openalex.org/works/W2787819685.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W169140825","https://openalex.org/W1606677329","https://openalex.org/W1970543907","https://openalex.org/W1976176703","https://openalex.org/W1991897642","https://openalex.org/W1993451940","https://openalex.org/W1997219719","https://openalex.org/W2000656232","https://openalex.org/W2011282943","https://openalex.org/W2012066443","https://openalex.org/W2019421101","https://openalex.org/W2035181994","https://openalex.org/W2041176939","https://openalex.org/W2042081030","https://openalex.org/W2047205327","https://openalex.org/W2078948975","https://openalex.org/W2100586946","https://openalex.org/W2140840007","https://openalex.org/W2241555812","https://openalex.org/W2337688168","https://openalex.org/W2666600683","https://openalex.org/W2787819685"],"related_works":[],"abstract_inverted_index":{"Many":[0],"problems":[1],"in":[2,142,153,226],"areas":[3],"as":[4,6,22,94,100,112],"diverse":[5],"recommendation":[7],"systems,":[8],"social":[9],"network":[10],"analysis,":[11],"semantic":[12],"search,":[13],"and":[14,39,45,65,159,188,200,241],"distributed":[15],"root":[16],"cause":[17],"analysis":[18],"can":[19,115],"be":[20,116],"modeled":[21],"pattern":[23,42],"search":[24,214],"on":[25,132,157,234],"labeled":[26,137],"graphs":[27],"(also":[28],"called":[29],"\"heterogeneous":[30],"information":[31],"networks\"":[32],"or":[33],"HINs).":[34],"Given":[35],"a":[36,40,49,60,89,167],"large":[37,235],"graph":[38,213],"query":[41],"with":[43,237],"node":[44,66],"edge":[46,64],"label":[47],"constraints,":[48],"fundamental":[50],"challenge":[51],"is":[52,71,204],"to":[53,59,73,122,195],"find":[54],"the":[55,80,97,107,162,170,182,186,227],"top-<i>k</i>":[56],"matches":[57],"according":[58],"ranking":[61,86],"function":[62],"over":[63,135],"weights.":[67],"For":[68],"users,":[69],"it":[70],"difficult":[72],"select":[74],"value":[75],"<i>k</i>.":[76],"We":[77,139],"therefore":[78],"propose":[79],"novel":[81],"notion":[82],"of":[83,96,150,169,185,212,229,239],"an":[84],"<i>any-k":[85],"algorithm</i>:":[87],"for":[88,209,231],"given":[90,103],"time":[91,199],"budget,":[92],"return":[93],"many":[95],"top-ranked":[98,171],"results":[99,110,126],"possible.":[101],"Then,":[102],"additional":[104],"time,":[105],"produce":[106],"next":[108],"lower-ranked":[109],"quickly":[111],"well.":[113],"It":[114,192],"stopped":[117],"anytime,":[118],"but":[119],"may":[120],"have":[121],"continue":[123],"until":[124],"all":[125],"are":[127,140],"returned.":[128],"This":[129],"paper":[130],"focuses":[131],"acyclic":[133,183],"patterns":[134,233],"arbitrary":[136],"graphs.":[138],"interested":[141],"practical":[143],"algorithms":[144],"that":[145,161,180,221],"effectively":[146],"exploit":[147],"(1)":[148],"properties":[149],"heterogeneous":[151],"networks,":[152],"particular":[154],"selective":[155],"constraints":[156],"labels,":[158],"(2)":[160],"users":[163],"often":[164],"explore":[165],"only":[166],"fraction":[168],"results.":[172],"Our":[173],"solution,":[174],"KARPET,":[175],"carefully":[176],"integrates":[177],"aggressive":[178],"pruning":[179],"leverages":[181],"nature":[184],"query,":[187],"incremental":[189],"guided":[190],"search.":[191],"enables":[193],"us":[194],"prove":[196],"strong":[197],"non-trivial":[198],"space":[201],"guarantees,":[202],"which":[203],"generally":[205],"considered":[206],"very":[207],"hard":[208],"this":[210],"type":[211],"problem.":[215],"Through":[216],"experimental":[217],"studies":[218],"we":[219],"show":[220],"KARPET":[222],"achieves":[223],"running":[224],"times":[225],"order":[228],"milliseconds":[230],"tree":[232],"networks":[236],"millions":[238],"nodes":[240],"edges.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-02-23T00:00:00"}
