{"id":"https://openalex.org/W4290189837","doi":"https://doi.org/10.1145/3132847.3133065","title":"When Labels Fall Short","display_name":"When Labels Fall Short","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W4290189837","doi":"https://doi.org/10.1145/3132847.3133065"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133065","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.02339","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060278235","display_name":"Arun V. Sathanur","orcid":null},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arun V. Sathanur","raw_affiliation_strings":["Pacific Northwest National Laboratory, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Seattle, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016440514","display_name":"Sutanay Choudhury","orcid":"https://orcid.org/0000-0001-7352-2035"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sutanay Choudhury","raw_affiliation_strings":["Pacific Northwest National Laboratory, Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059387152","display_name":"Cliff Joslyn","orcid":"https://orcid.org/0000-0002-5923-5547"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cliff Joslyn","raw_affiliation_strings":["Pacific Northwest National Laboratory, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Seattle, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025824247","display_name":"Sumit Purohit","orcid":"https://orcid.org/0000-0002-6483-486X"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumit Purohit","raw_affiliation_strings":["Pacific Northwest National Laboratory, Richland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory, Richland, WA, USA","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060278235"],"corresponding_institution_ids":["https://openalex.org/I142606810"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.39609704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2287","last_page":"2290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9904999732971191,"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":0.9904999732971191,"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":0.9894999861717224,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.7393448352813721},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6660058498382568},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5913155674934387},{"id":"https://openalex.org/keywords/degree-distribution","display_name":"Degree distribution","score":0.5671588182449341},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5667452812194824},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5540602803230286},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5255687832832336},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5184449553489685},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4150558114051819},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3422659635543823},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.29597538709640503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23372533917427063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393448352813721},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6660058498382568},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5913155674934387},{"id":"https://openalex.org/C87414783","wikidata":"https://www.wikidata.org/wiki/Q1002603","display_name":"Degree distribution","level":3,"score":0.5671588182449341},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5667452812194824},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5540602803230286},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5255687832832336},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5184449553489685},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4150558114051819},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3422659635543823},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.29597538709640503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23372533917427063},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3132847.3133065","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.02339","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.02339","pdf_url":"https://arxiv.org/pdf/1709.02339","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.02339","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.02339","pdf_url":"https://arxiv.org/pdf/1709.02339","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2025266141","https://openalex.org/W2057685268","https://openalex.org/W2146950091","https://openalex.org/W2160268549","https://openalex.org/W2167597870","https://openalex.org/W2604746202","https://openalex.org/W2755088640","https://openalex.org/W2963190580","https://openalex.org/W4244426546"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W212696416","https://openalex.org/W2054134681","https://openalex.org/W621688645"],"abstract_inverted_index":{"Property":[0,105],"graphs":[1,75],"can":[2],"be":[3],"used":[4],"to":[5,34,72,116],"represent":[6],"heterogeneous":[7],"networks":[8],"with":[9,22,27,32,146],"labeled":[10],"(attributed)":[11],"vertices":[12],"and":[13,37,44,67,120,125,169],"edges.":[14],"Given":[15],"a":[16,83,90,112,147],"property":[17,74],"graph,":[18],"simulating":[19],"another":[20],"graph":[21],"same":[23,29,70,78],"or":[24,79],"greater":[25],"size":[26,81],"the":[28,35,52,56,60,64,69,77,93,99,104,118,122,126,138,151,156,161,164,171],"statistical":[30,57],"properties":[31],"respect":[33],"labels":[36,66],"connectivity":[38,62,128],"is":[39,144,181],"critical":[40],"for":[41],"privacy":[42],"preservation":[43],"benchmarking":[45],"purposes.":[46],"In":[47],"this":[48],"work":[49],"we":[50],"tackle":[51],"problem":[53,119],"of":[54,59,76,153,163],"capturing":[55],"dependence":[58],"edge":[61,127],"on":[63,183],"vertex":[65,123],"using":[68],"distribution":[71],"regenerate":[73],"expanded":[80],"in":[82,150,155,167],"scalable":[84,145],"manner.":[85],"However,":[86],"accurate":[87],"simulation":[88],"becomes":[89],"challenge":[91],"when":[92],"attributes":[94],"do":[95],"not":[96],"completely":[97],"explain":[98],"network":[100],"structure.":[101],"We":[102,159],"propose":[103],"Graph":[106],"Model":[107],"(PGM)":[108],"approach":[109,166],"that":[110],"uses":[111],"label":[113,124],"augmentation":[114],"strategy":[115],"mitigate":[117],"preserve":[121],"distributions":[129],"as":[130,132],"well":[131],"their":[133],"correlation,":[134],"while":[135],"also":[136],"replicating":[137],"degree":[139],"distribution.":[140],"Our":[141,178],"proposed":[142],"algorithm":[143],"linear":[148],"complexity":[149],"number":[152],"edges":[154],"target":[157],"graph.":[158],"illustrate":[160],"efficacy":[162],"PGM":[165],"regenerating":[168],"expanding":[170],"datasets":[172],"by":[173],"leveraging":[174],"two":[175],"distinct":[176],"illustrations.":[177],"open-source":[179],"implementation":[180],"available":[182],"GitHub.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-08-07T00:00:00"}
