{"id":"https://openalex.org/W3152730267","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443464","title":"Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks","display_name":"Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3152730267","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443464","mag":"3152730267"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.08637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005589458","display_name":"Konstantinos D. Polyzos","orcid":"https://orcid.org/0000-0002-4609-7368"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Konstantinos D. Polyzos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, USA","University of Minnesota,Department of Electrical and Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053892943","display_name":"Costas Mavromatis","orcid":"https://orcid.org/0000-0002-1271-7063"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Costas Mavromatis","raw_affiliation_strings":["Department of Computer Science, University of Minnesota, USA","University of Minnesota Department of Computer Science, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota Department of Computer Science, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023028617","display_name":"Vassilis N. Ioannidis","orcid":"https://orcid.org/0000-0002-8367-0733"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis N. Ioannidis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, USA","University of Minnesota,Department of Electrical and Computer Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"University of Minnesota,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, USA","university of minnesota;"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"university of minnesota;","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005589458"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19844745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"726","last_page":"730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.7263827323913574},{"id":"https://openalex.org/keywords/flagging","display_name":"Flagging","score":0.6988601684570312},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6963313221931458},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.596136748790741},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5815602540969849},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5077561140060425},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4834533631801605},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4793189764022827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4538381099700928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45277103781700134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28630000352859497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26919782161712646},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09869998693466187},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08913663029670715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263827323913574},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.6988601684570312},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6963313221931458},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.596136748790741},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5815602540969849},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5077561140060425},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4834533631801605},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4793189764022827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4538381099700928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45277103781700134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28630000352859497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26919782161712646},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09869998693466187},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08913663029670715},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.08637","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.08637","pdf_url":"https://arxiv.org/pdf/2104.08637","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":"mag:3152730267","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2104.08637.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2104.08637","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.08637","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.08637","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.08637","pdf_url":"https://arxiv.org/pdf/2104.08637","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3152730267.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W795408010","https://openalex.org/W1492581097","https://openalex.org/W1504886279","https://openalex.org/W1538524459","https://openalex.org/W1549186681","https://openalex.org/W1774304772","https://openalex.org/W1983681808","https://openalex.org/W2034572462","https://openalex.org/W2046282014","https://openalex.org/W2070113647","https://openalex.org/W2075577372","https://openalex.org/W2081746825","https://openalex.org/W2089554624","https://openalex.org/W2105767123","https://openalex.org/W2110871651","https://openalex.org/W2118550318","https://openalex.org/W2132555912","https://openalex.org/W2140738143","https://openalex.org/W2143075842","https://openalex.org/W2147620601","https://openalex.org/W2149863017","https://openalex.org/W2151128232","https://openalex.org/W2168955340","https://openalex.org/W2183899930","https://openalex.org/W2296319761","https://openalex.org/W2393319904","https://openalex.org/W2402531259","https://openalex.org/W2591657267","https://openalex.org/W2769897290","https://openalex.org/W2772180402","https://openalex.org/W2796728297","https://openalex.org/W2798585159","https://openalex.org/W2913535645","https://openalex.org/W2918219436","https://openalex.org/W2949979136","https://openalex.org/W2955850764","https://openalex.org/W2964012239","https://openalex.org/W2974156130","https://openalex.org/W2981979628","https://openalex.org/W2982077641","https://openalex.org/W3001496989","https://openalex.org/W3007598526","https://openalex.org/W3013169514","https://openalex.org/W3016062530","https://openalex.org/W3087407541","https://openalex.org/W3102105495","https://openalex.org/W4244393449","https://openalex.org/W4250589301","https://openalex.org/W6629457467","https://openalex.org/W6681641405","https://openalex.org/W6682227116","https://openalex.org/W6686013019","https://openalex.org/W6696497002","https://openalex.org/W6769207421","https://openalex.org/W6770032572"],"related_works":["https://openalex.org/W3172490042","https://openalex.org/W2992818769","https://openalex.org/W2903762710","https://openalex.org/W2396623784","https://openalex.org/W2741114205","https://openalex.org/W3196969770","https://openalex.org/W2735418868","https://openalex.org/W3158360526","https://openalex.org/W3012475720","https://openalex.org/W2532488759","https://openalex.org/W3136121174","https://openalex.org/W2948237107","https://openalex.org/W2808871282","https://openalex.org/W1447233508","https://openalex.org/W2969542054","https://openalex.org/W2995548952","https://openalex.org/W2962924890","https://openalex.org/W3177081992","https://openalex.org/W2913416919","https://openalex.org/W2891893182"],"abstract_inverted_index":{"Uncovering":[0],"anomalies":[1],"in":[2,13,20,49,145],"attributed":[3,50],"networks":[4],"has":[5],"recently":[6],"gained":[7],"popularity":[8],"due":[9],"to":[10,37,82],"its":[11],"importance":[12],"unveiling":[14],"outliers":[15],"and":[16,25,64,136],"flagging":[17],"adversarial":[18],"behavior":[19],"a":[21,39],"gamut":[22],"of":[23,32,91,98,118,142],"data":[24,74,138],"network":[26],"science":[27],"applications":[28],"including":[29],"the":[30,72,89,92,99,104,140,146],"Internet":[31],"Things":[33],"(IoT),":[34],"finance,":[35],"security,":[36],"list":[38],"few.":[40],"The":[41,67,86,108],"present":[42],"work":[43],"deals":[44],"with":[45,56,129],"uncovering":[46],"anomalous":[47,114],"edges":[48,115],"graphs":[51],"using":[52],"two":[53,127],"distinct":[54],"formulations":[55],"complementary":[57],"strengths,":[58],"which":[59,102],"can":[60],"be":[61],"easily":[62],"distributed,":[63],"hence":[65],"efficient.":[66],"first":[68,93],"relies":[69],"on":[70,134],"decomposing":[71],"graph":[73],"matrix":[75],"into":[76],"low":[77],"rank":[78],"plus":[79],"sparse":[80],"components":[81],"markedly":[83],"improve":[84],"performance.":[85,107],"second":[87],"broadens":[88],"scope":[90],"by":[94],"performing":[95],"robust":[96],"recovery":[97],"unperturbed":[100],"graph,":[101],"enhances":[103],"anomaly":[105,147],"identification":[106,148],"novel":[109],"methods":[110,144],"not":[111],"only":[112],"capture":[113],"linking":[116],"nodes":[117,128],"different":[119,130],"communities,":[120],"but":[121],"also":[122],"spurious":[123],"connections":[124],"between":[125],"any":[126],"features.":[131],"Experiments":[132],"conducted":[133],"real":[135],"synthetic":[137],"corroborate":[139],"effectiveness":[141],"both":[143],"task.":[149]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
