{"id":"https://openalex.org/W4402673444","doi":"https://doi.org/10.1109/tkde.2024.3462442","title":"Cross-Domain Graph Level Anomaly Detection","display_name":"Cross-Domain Graph Level Anomaly Detection","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4402673444","doi":"https://doi.org/10.1109/tkde.2024.3462442"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3462442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3462442","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tkde.2024.3462442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100428658","display_name":"Zhong Li","orcid":"https://orcid.org/0000-0003-1124-5778"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zhong Li","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-1124-5778","affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055318399","display_name":"Sheng Liang","orcid":"https://orcid.org/0000-0002-6809-5865"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sheng Liang","raw_affiliation_strings":["CIS, LMU Munich, M&#x00FC;nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIS, LMU Munich, M&#x00FC;nchen, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071898836","display_name":"Jiayang Shi","orcid":"https://orcid.org/0000-0002-7014-0805"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jiayang Shi","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7014-0805","affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022646570","display_name":"Matthijs van Leeuwen","orcid":"https://orcid.org/0000-0002-0510-3549"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Matthijs van Leeuwen","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-0510-3549","affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7182,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75991442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"36","issue":"12","first_page":"7839","last_page":"7850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9666000008583069,"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":0.9666000008583069,"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/T12127","display_name":"Software System Performance and Reliability","score":0.944100022315979,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9351000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487590312957764},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5519654750823975},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47504308819770813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3114350438117981},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3042881488800049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487590312957764},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5519654750823975},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47504308819770813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3114350438117981},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3042881488800049}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2024.3462442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3462442","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_4170186","is_oa":true,"landing_page_url":"https://hdl.handle.net/1887/4170186","pdf_url":"https://scholarlypublications.universiteitleiden.nl/access/item%3A4170187/view","source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"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":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"Article / Letter to editor"}],"best_oa_location":{"id":"doi:10.1109/tkde.2024.3462442","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3462442","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1502848176","display_name":null,"funder_award_id":"P18-03","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G2001806450","display_name":null,"funder_award_id":"H2020-MSCA-ITN","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3345895242","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G4012842235","display_name":null,"funder_award_id":"MSCA\u2010ITN\u20102020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6004877412","display_name":"Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts","funder_award_id":"956172","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6529851592","display_name":null,"funder_award_id":"H2020-MSCA-ITN-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7984235579","display_name":null,"funder_award_id":"H2020-MSCA-ITN","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8512683158","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1492230849","https://openalex.org/W2039157918","https://openalex.org/W2089554624","https://openalex.org/W2104094955","https://openalex.org/W2107263349","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2282861635","https://openalex.org/W2593768305","https://openalex.org/W2887280559","https://openalex.org/W2951824725","https://openalex.org/W2954628187","https://openalex.org/W2962711740","https://openalex.org/W2964288524","https://openalex.org/W2965115497","https://openalex.org/W2971865858","https://openalex.org/W2997964288","https://openalex.org/W2998115938","https://openalex.org/W2998496395","https://openalex.org/W3012644407","https://openalex.org/W3014788410","https://openalex.org/W3033623365","https://openalex.org/W3039883906","https://openalex.org/W3080290478","https://openalex.org/W3096209122","https://openalex.org/W3102554291","https://openalex.org/W3114932221","https://openalex.org/W3168650020","https://openalex.org/W3181434681","https://openalex.org/W3194965327","https://openalex.org/W3203166992","https://openalex.org/W3205757157","https://openalex.org/W3206604724","https://openalex.org/W4206453098","https://openalex.org/W4213224406","https://openalex.org/W4214823095","https://openalex.org/W4225163171","https://openalex.org/W4254769978","https://openalex.org/W4287645280","https://openalex.org/W4287991183","https://openalex.org/W4288419263","https://openalex.org/W4293057355","https://openalex.org/W4306887124","https://openalex.org/W4311404181","https://openalex.org/W4328028653","https://openalex.org/W4382239841","https://openalex.org/W4385569990","https://openalex.org/W4398252541","https://openalex.org/W6738279954","https://openalex.org/W6750109254","https://openalex.org/W6751494907","https://openalex.org/W6754929296","https://openalex.org/W6760045743","https://openalex.org/W6766978945","https://openalex.org/W6771625333","https://openalex.org/W6784363220","https://openalex.org/W6846133810","https://openalex.org/W7037116381"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Existing":[0],"graph":[1,63,126],"level":[2,64,127],"anomaly":[3,65],"detection":[4,18,66],"methods":[5],"are":[6],"predominantly":[7],"unsupervised":[8],"due":[9],"to":[10,22,52,69,124,133,145],"high":[11],"costs":[12],"for":[13],"obtaining":[14],"labels,":[15],"yielding":[16],"sub-optimal":[17],"accuracy":[19],"when":[20],"compared":[21],"supervised":[23],"methods.":[24,167],"Moreover,":[25],"they":[26],"heavily":[27],"rely":[28],"on":[29,152,155],"the":[30,33,43,115,138,161],"assumption":[31],"that":[32,104,160],"training":[34],"data":[35],"exclusively":[36],"consists":[37,97],"of":[38,45,76,98,110],"normal":[39,85],"graphs.":[40],"Hence,":[41],"even":[42],"presence":[44],"a":[46,74,88,101,130,142],"few":[47],"anomalous":[48,71],"graphs":[49,72,78,86,112],"can":[50],"lead":[51],"substantial":[53],"performance":[54],"degradation.":[55],"To":[56],"alleviate":[57],"these":[58],"problems,":[59],"we":[60],"propose":[61],"across-domain":[62],"method,":[67],"aiming":[68],"identify":[70],"from":[73,87,148],"set":[75],"unlabeled":[77],"(target":[79],"domain)":[80],"by":[81],"using":[82],"easily":[83],"accessible":[84],"different":[89,118],"but":[90],"related":[91],"domain":[92,122],"(source":[93],"domain).":[94],"Our":[95],"method":[96,163],"four":[99],"components:":[100],"feature":[102],"extractor":[103],"preserves":[105],"semantic":[106],"and":[107,141],"topological":[108],"information":[109,136],"individual":[111],"while":[113],"incorporating":[114],"distance":[116],"between":[117],"graphs;":[119],"an":[120],"adversarial":[121],"classifier":[123,132],"make":[125],"representations":[128],"domain-invariant;":[129],"one-class":[131],"exploit":[134],"label":[135],"in":[137],"source":[139],"domain;":[140],"class":[143],"aligner":[144],"align":[146],"classes":[147],"both":[149],"domains":[150],"based":[151],"pseudolabels.":[153],"Experiments":[154],"seven":[156],"benchmark":[157],"datasets":[158],"show":[159],"proposed":[162],"largely":[164],"outperforms":[165],"state-of-the-art":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
