{"id":"https://openalex.org/W4281744245","doi":"https://doi.org/10.1145/3519935.3520059","title":"Edge sampling and graph parameter estimation via vertex neighborhood accesses","display_name":"Edge sampling and graph parameter estimation via vertex neighborhood accesses","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4281744245","doi":"https://doi.org/10.1145/3519935.3520059"},"language":"en","primary_location":{"id":"doi:10.1145/3519935.3520059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519935.3520059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://curis.ku.dk/ws/files/316818152/Edge_Sampling_and_Graph_Parameter_Estimation_via_Vertex.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077723390","display_name":"Jakub T\u011btek","orcid":"https://orcid.org/0000-0002-2046-1627"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Jakub T\u011btek","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039232562","display_name":"Mikkel Thorup","orcid":"https://orcid.org/0000-0001-5237-1709"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mikkel Thorup","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077723390"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":1.6658,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86218015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1116","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.6684824228286743},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5997664928436279},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5009634494781494},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45089295506477356},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37429943680763245},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3736695945262909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10442748665809631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684824228286743},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5997664928436279},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5009634494781494},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45089295506477356},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37429943680763245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3736695945262909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10442748665809631},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3519935.3520059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519935.3520059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/55b8e352-9cb2-46de-931f-e78f42250cdb","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/55b8e352-9cb2-46de-931f-e78f42250cdb","pdf_url":"https://curis.ku.dk/ws/files/316818152/Edge_Sampling_and_Graph_Parameter_Estimation_via_Vertex.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"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":"Tetek , J & Thorup , M 2022 , Edge sampling and graph parameter estimation via vertex neighborhood accesses . in S Leonardi & A Gupta (eds) , STOC 2022 - Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing . Association for Computing Machinery, Inc. , pp. 1116-1129 , 54th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2022 , Rome , Italy , 20/06/2022 . https://doi.org/10.1145/3519935.3520059","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/55b8e352-9cb2-46de-931f-e78f42250cdb","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/55b8e352-9cb2-46de-931f-e78f42250cdb","pdf_url":"https://curis.ku.dk/ws/files/316818152/Edge_Sampling_and_Graph_Parameter_Estimation_via_Vertex.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"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":"Tetek , J & Thorup , M 2022 , Edge sampling and graph parameter estimation via vertex neighborhood accesses . in S Leonardi & A Gupta (eds) , STOC 2022 - Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing . Association for Computing Machinery, Inc. , pp. 1116-1129 , 54th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2022 , Rome , Italy , 20/06/2022 . https://doi.org/10.1145/3519935.3520059","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4422840520","display_name":null,"funder_award_id":"16582","funder_id":"https://openalex.org/F4320310490","funder_display_name":"Villum Fonden"}],"funders":[{"id":"https://openalex.org/F4320310490","display_name":"Villum Fonden","ror":"https://ror.org/007ww2d15"},{"id":"https://openalex.org/F4320334966","display_name":"Bhabha Atomic Research Centre","ror":"https://ror.org/05w6wfp17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281744245.pdf","grobid_xml":"https://content.openalex.org/works/W4281744245.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1498019842","https://openalex.org/W1542957328","https://openalex.org/W2014251485","https://openalex.org/W2023065712","https://openalex.org/W2075709248","https://openalex.org/W2121707217","https://openalex.org/W2137572956","https://openalex.org/W2336754337","https://openalex.org/W2755725510","https://openalex.org/W2769478807","https://openalex.org/W2918050317","https://openalex.org/W2948826707","https://openalex.org/W2963568509","https://openalex.org/W2963857389","https://openalex.org/W2963947323","https://openalex.org/W3081044186","https://openalex.org/W3090803701","https://openalex.org/W3203769804","https://openalex.org/W4210896998","https://openalex.org/W4213119946","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4409439182","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542"],"abstract_inverted_index":{"In":[0,47],"this":[1],"paper,":[2],"we":[3,27,94,104],"consider":[4,28],"the":[5,8,34,41,60,77,89],"problems":[6],"from":[7],"area":[9],"of":[10,13,22,43,63,118],"sublinear-time":[11],"algorithms":[12],"edge":[14,16],"sampling,":[15,102],"counting,":[17],"and":[18,112],"triangle":[19],"counting.":[20],"Part":[21],"our":[23],"contribution":[24],"is":[25],"that":[26,75],"three":[29],"different":[30],"settings,":[31],"differing":[32],"in":[33,36,88,116],"way":[35],"which":[37,71],"one":[38],"may":[39],"access":[40,69,114],"neighborhood":[42,68,79],"a":[44,57,64,73,81,106,123],"given":[45,65],"vertex.":[46,66],"previous":[48],"work,":[49],"people":[50],"have":[51,105],"considered":[52,87],"indexed":[53],"neighbor":[54,62,97],"access,":[55,98],"with":[56],"query":[58,74],"returning":[59],"i-th":[61],"Full":[67],"model,":[70],"has":[72,84],"returns":[76],"entire":[78],"at":[80],"unit":[82],"cost,":[83],"recently":[85],"been":[86],"applied":[90],"community.":[91],"Between":[92],"these,":[93],"propose":[95],"hash-ordered":[96],"inspired":[99],"by":[100],"coordinated":[101],"where":[103],"global":[107],"fully":[108],"random":[109],"hash":[110,120],"function,":[111],"can":[113],"neighbors":[115],"order":[117],"their":[119],"values,":[121],"paying":[122],"constant":[124],"for":[125],"each":[126],"accessed":[127],"neighbor.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}