{"id":"https://openalex.org/W4225378533","doi":"https://doi.org/10.1145/3533770","title":"Detecting Anomalous Graphs in Labeled Multi-Graph Databases","display_name":"Detecting Anomalous Graphs in Labeled Multi-Graph Databases","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4225378533","doi":"https://doi.org/10.1145/3533770"},"language":"en","primary_location":{"id":"doi:10.1145/3533770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533770","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3533770","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100716472","display_name":"Hung T. Nguyen","orcid":"https://orcid.org/0000-0002-3463-7232"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hung T. Nguyen","raw_affiliation_strings":["Princeton University, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006034181","display_name":"Pierre Jinghong Liang","orcid":"https://orcid.org/0000-0002-9246-3269"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pierre J. Liang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001634795","display_name":"Leman Akoglu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leman Akoglu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100716472"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.3756,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55420941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"17","issue":"2","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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":0.9879999756813049,"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":0.9861999750137329,"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":0.7294788956642151},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5491212010383606},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5402234792709351},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5090815424919128},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4768734574317932},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4229843020439148},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37529563903808594},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33891934156417847},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2859676778316498},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.1846892237663269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294788956642151},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5491212010383606},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5402234792709351},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5090815424919128},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4768734574317932},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4229843020439148},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37529563903808594},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33891934156417847},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2859676778316498},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.1846892237663269}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533770","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3533770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533770","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5512748762","display_name":null,"funder_award_id":"1452425","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/F4320310207","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225378533.pdf","grobid_xml":"https://content.openalex.org/works/W4225378533.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1492581097","https://openalex.org/W1512140523","https://openalex.org/W1964669181","https://openalex.org/W1974332999","https://openalex.org/W1995443851","https://openalex.org/W1995907191","https://openalex.org/W2003665833","https://openalex.org/W2008857988","https://openalex.org/W2029792996","https://openalex.org/W2031869443","https://openalex.org/W2032280284","https://openalex.org/W2054658115","https://openalex.org/W2089554624","https://openalex.org/W2105302963","https://openalex.org/W2108781142","https://openalex.org/W2112429379","https://openalex.org/W2124066753","https://openalex.org/W2124533460","https://openalex.org/W2125580539","https://openalex.org/W2146160048","https://openalex.org/W2153624566","https://openalex.org/W2157762631","https://openalex.org/W2167295942","https://openalex.org/W2170902455","https://openalex.org/W2284900416","https://openalex.org/W2394993243","https://openalex.org/W2470861207","https://openalex.org/W2562676961","https://openalex.org/W2584910459","https://openalex.org/W2605850919","https://openalex.org/W2730363704","https://openalex.org/W2763834249","https://openalex.org/W2808927717","https://openalex.org/W2809409545","https://openalex.org/W2900659728","https://openalex.org/W2944250323","https://openalex.org/W2945390216","https://openalex.org/W2945735730","https://openalex.org/W2962756421","https://openalex.org/W2963467900","https://openalex.org/W2963486145","https://openalex.org/W2998336824","https://openalex.org/W3005695519","https://openalex.org/W3037116736","https://openalex.org/W3093649180","https://openalex.org/W3101999497","https://openalex.org/W3103858635","https://openalex.org/W3114932221","https://openalex.org/W3123545922","https://openalex.org/W3206604724","https://openalex.org/W4213224406","https://openalex.org/W4289294434"],"related_works":["https://openalex.org/W3106969033","https://openalex.org/W2186939576","https://openalex.org/W2357988910","https://openalex.org/W2948148442","https://openalex.org/W2377158164","https://openalex.org/W2187600494","https://openalex.org/W2114030128","https://openalex.org/W2021877972","https://openalex.org/W2943003953","https://openalex.org/W3115442681"],"abstract_inverted_index":{"Within":[0],"a":[1,57,95],"large":[2],"database":[3,72],"\ud835\udca2":[4,73],"containing":[5],"graphs":[6],"with":[7,48],"labeled":[8],"nodes":[9],"and":[10,101,123,143],"directed,":[11],"multi-edges;":[12],"how":[13],"can":[14],"we":[15],"detect":[16],"the":[17,36,41,111,133],"anomalous":[18],"graphs?":[19],"Most":[20],"existing":[21,129],"work":[22],"are":[23,84],"designed":[24],"for":[25,45,107,132],"plain":[26],"(unlabeled)":[27],"and/or":[28],"simple":[29],"(unweighted)":[30],"graphs.":[31],"We":[32,109],"introduce":[33],"CODEtect":[34,88,114],",":[35],"first":[37],"approach":[38],"that":[39,69,79],"addresses":[40],"anomaly":[42],"detection":[43],"task":[44,134],"graph":[46,98,117],"databases":[47,118],"such":[49],"complex":[50],"nature.":[51],"To":[52],"this":[53],"end,":[54],"it":[55],"identifies":[56],"small":[58],"representative":[59],"set":[60],"\ud835\udcae":[61],"of":[62,113,141],"structural":[63],"patterns":[64],"(i.e.,":[65],"node-labeled":[66],"network":[67],"motifs)":[68],"losslessly":[70],"compress":[71,82],"as":[74,76,86],"concisely":[75],"possible.":[77],"Graphs":[78],"do":[80],"not":[81],"well":[83],"flagged":[85],"anomalous.":[87],"exhibits":[89],"two":[90],"novel":[91],"building":[92],"blocks:":[93],"(i)":[94],"motif-based":[96],"lossless":[97],"encoding":[99],"scheme,":[100],"(ii)":[102],"fast":[103],"memory-efficient":[104],"search":[105],"algorithms":[106],"\ud835\udcae.":[108],"show":[110],"effectiveness":[112],"on":[115],"transaction":[116],"from":[119],"three":[120],"different":[121,139],"corporations":[122],"statistically":[124],"similar":[125],"synthetic":[126],"datasets,":[127],"where":[128],"baselines":[130],"adjusted":[131],"fall":[135],"behind":[136],"significantly,":[137],"across":[138],"types":[140],"anomalies":[142],"performance":[144],"metrics.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}