{"id":"https://openalex.org/W3196715416","doi":"https://doi.org/10.14778/3476311.3476367","title":"GEDet","display_name":"GEDet","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3196715416","doi":"https://doi.org/10.14778/3476311.3476367","mag":"3196715416"},"language":"en","primary_location":{"id":"doi:10.14778/3476311.3476367","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476311.3476367","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003434623","display_name":"Sheng Guan","orcid":"https://orcid.org/0000-0003-0977-1787"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Guan","raw_affiliation_strings":["Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078704605","display_name":"Hanchao Ma","orcid":"https://orcid.org/0000-0002-5811-4305"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanchao Ma","raw_affiliation_strings":["Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071093153","display_name":"Yinghui Wu","orcid":"https://orcid.org/0000-0003-3991-5155"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinghui Wu","raw_affiliation_strings":["Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.273,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62767054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"12","first_page":"2875","last_page":"2878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9908999800682068,"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":0.9908999800682068,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9907000064849854,"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":0.9781000018119812,"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":0.8315813541412354},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6298655271530151},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4866819977760315},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46305179595947266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43637996912002563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40836915373802185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3762663006782532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27736344933509827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21706074476242065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315813541412354},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6298655271530151},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4866819977760315},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46305179595947266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43637996912002563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40836915373802185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3762663006782532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27736344933509827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21706074476242065}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3476311.3476367","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3476311.3476367","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2425348221","https://openalex.org/W2544486974","https://openalex.org/W2741048099","https://openalex.org/W2907492528","https://openalex.org/W2944378183","https://openalex.org/W3034942609","https://openalex.org/W3135966979","https://openalex.org/W4210257598"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W3200179079","https://openalex.org/W2556319748"],"abstract_inverted_index":{"Detecting":[0],"nodes":[1,31,74,113,117],"with":[2,34,79,85,141],"erroneous":[3,30,73,112],"values":[4,150],"in":[5,32],"real-world":[6],"graphs":[7,33],"remains":[8],"challenging":[9],"due":[10],"to":[11,54,67,75,96,109,151,175,178,193],"the":[12,52,56,98,127,184],"lack":[13],"of":[14,72,145],"examples":[15,71,95],"and":[16,100,118,182,189,195],"various":[17],"error":[18,24,42,77,129,134,160,185],"scenarios.":[19],"We":[20,50,121],"demonstrate":[21],"GEDet,":[22],"an":[23,102,171],"detection":[25,43,62,78,104,130,166,186],"engine":[26],"that":[27,123],"can":[28,154],"detect":[29],"a":[35,45,69,87,142],"few":[36,70],"examples.":[37,120,163],"The":[38],"GEDet":[39,81,124,137,168],"framework":[40],"tackles":[41],"as":[44],"few-shot":[46],"node":[47],"classification":[48],"problem.":[49],"invite":[51],"attendees":[53],"experience":[55],"following":[57],"unique":[58],"features.":[59],"(1)":[60],"Few-shot":[61],".":[63,136,167],"Users":[64,153],"only":[65],"need":[66],"provide":[68],"perform":[76],"GEDet.":[80],"achieves":[82],"desirable":[83],"accuracy":[84],"(a)":[86,170],"graph":[88],"augmentation":[89],"module,":[90,105],"which":[91,106],"automatically":[92],"generates":[93],"synthetic":[94,119],"learn":[97],"classifier,":[99],"(b)":[101,190],"adversarial":[103],"improves":[107,126],"classifiers":[108],"better":[110],"distinguish":[111],"from":[114,148],"both":[115],"cleaned":[116],"show":[122],"significantly":[125],"state-of-the-art":[128],"methods.":[131],"(2)":[132],"Diverse":[133],"scenarios":[135],"profiles":[138],"data":[139],"errors":[140],"built-in":[143],"library":[144],"transformation":[146],"functions":[147],"correct":[149],"errors.":[152,198],"also":[155],"easily":[156],"\"plug":[157],"in\"":[158],"new":[159],"types":[161],"or":[162],"(3)":[164],"User-centric":[165],"supports":[169],"active":[172],"learning":[173],"mode":[174],"engage":[176],"users":[177],"verify":[179],"detected":[180,197],"results,":[181],"adapts":[183],"process":[187],"accordingly;":[188],"visual":[191],"interfaces":[192],"interpret":[194],"track":[196]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-09-13T00:00:00"}
