{"id":"https://openalex.org/W4408507586","doi":"https://doi.org/10.1007/s40747-025-01839-3","title":"Self-attention-based graph transformation learning for anomaly detection in multivariate time series","display_name":"Self-attention-based graph transformation learning for anomaly detection in multivariate time series","publication_year":2025,"publication_date":"2025-03-17","ids":{"openalex":"https://openalex.org/W4408507586","doi":"https://doi.org/10.1007/s40747-025-01839-3"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-01839-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01839-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01839-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01839-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100411693","display_name":"Qiushi Wang","orcid":"https://orcid.org/0000-0002-0850-9544"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiushi Wang","raw_affiliation_strings":["Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","Shenyang Institute of Automation, Shenyang, 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112425766","display_name":"Yimei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueming Zhu","raw_affiliation_strings":["Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","Shenyang Institute of Automation, Shenyang, 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748465","display_name":"Zhicheng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Sun","raw_affiliation_strings":["Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","Shenyang Institute of Automation, Shenyang, 110016, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051688016","display_name":"Dong Li","orcid":"https://orcid.org/0000-0002-5815-5924"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China","Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","Shenyang Institute of Automation, Shenyang, 110016, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Shenyang, 110016, China","institution_ids":["https://openalex.org/I142078773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089921775","display_name":"Yunbin Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunbin Ma","raw_affiliation_strings":["PipeChina Institute of Science and Technology, Langfang, 065000, China"],"affiliations":[{"raw_affiliation_string":"PipeChina Institute of Science and Technology, Langfang, 065000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100411693"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":15.9476,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98694458,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.994700014591217,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.8119879364967346},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6605541706085205},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6512567400932312},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6268996596336365},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6082625389099121},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5799413323402405},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5236375331878662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49359452724456787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4832625985145569},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.4457290768623352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4177865982055664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3337201476097107},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22859111428260803},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0980786383152008},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09493917226791382},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06365010142326355}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8119879364967346},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6605541706085205},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6512567400932312},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6268996596336365},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6082625389099121},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5799413323402405},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5236375331878662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49359452724456787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4832625985145569},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.4457290768623352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4177865982055664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3337201476097107},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22859111428260803},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0980786383152008},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09493917226791382},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06365010142326355},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-01839-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01839-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01839-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:58600e3bf30f4e3499da45827119bde6","is_oa":true,"landing_page_url":"https://doaj.org/article/58600e3bf30f4e3499da45827119bde6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 5, Pp 1-13 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-01839-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-01839-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-01839-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3532898895","display_name":null,"funder_award_id":"U24A20277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408507586.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2008513692","https://openalex.org/W2021660846","https://openalex.org/W2240536489","https://openalex.org/W2296719434","https://openalex.org/W2407991977","https://openalex.org/W2911200746","https://openalex.org/W2950361482","https://openalex.org/W2953352227","https://openalex.org/W2963166639","https://openalex.org/W3166166117","https://openalex.org/W3169450514","https://openalex.org/W3170937175","https://openalex.org/W3190152617","https://openalex.org/W3192648431","https://openalex.org/W3198381997","https://openalex.org/W3199148273","https://openalex.org/W4205992740","https://openalex.org/W4225163171","https://openalex.org/W4254182148","https://openalex.org/W4285600291","https://openalex.org/W4290943650","https://openalex.org/W4291034555","https://openalex.org/W4388878490","https://openalex.org/W4401487891","https://openalex.org/W4401567681","https://openalex.org/W4402124787","https://openalex.org/W6600475615","https://openalex.org/W6973832570"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W2032728545","https://openalex.org/W1570805059"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,155],"series":[2,156],"anomaly":[3,157],"detection":[4],"has":[5],"widely":[6],"applications":[7],"in":[8,26,50],"many":[9],"fields":[10],"such":[11],"as":[12],"finance,":[13],"power,":[14],"and":[15,56,108,144],"industry.":[16],"Recently,":[17],"Graph":[18],"Neural":[19],"Network":[20],"(GNN)":[21],"have":[22],"achieved":[23],"great":[24],"success":[25],"this":[27,61,75],"task":[28],"due":[29],"to":[30,73,86,91,116],"their":[31],"powerful":[32],"ability":[33],"of":[34],"modeling":[35],"multivariate":[36,154],"relationships.":[37],"However,":[38],"most":[39],"existing":[40],"methods":[41],"employ":[42],"shallow":[43],"networks":[44,122],"with":[45],"only":[46],"two":[47],"layers,":[48],"resulting":[49],"restricted":[51],"node":[52,89],"information":[53],"transfer":[54],"range":[55],"limited":[57],"sensing":[58],"field.":[59],"In":[60],"paper,":[62],"we":[63],"propose":[64],"a":[65,79,96,109,148],"self-attention":[66,81],"based":[67,103],"graph":[68,82,97,142],"transformation":[69,98,106,150],"learning":[70,99,151],"(AT-GTL)":[71],"method":[72,137],"solve":[74],"problem.":[76],"AT-GTL":[77],"uses":[78],"global":[80,93,119,141],"pooling":[83],"(GATP)":[84],"module":[85],"aggregate":[87,140],"all":[88],"features":[90,125,143],"obtain":[92],"features.":[94],"Then,":[95],"pipeline":[100],"is":[101,114],"constructed":[102,115],"on":[104,130],"neural":[105],"learning,":[107],"triplet":[110],"contrastive":[111],"loss":[112],"(TCL)":[113],"optimize":[117],"the":[118],"feature":[120],"extraction":[121],"using":[123],"potential":[124],"from":[126],"multi-viewpoints.":[127],"Extensive":[128],"experiments":[129],"three":[131],"real-world":[132],"datasets":[133],"demonstrate":[134],"that":[135],"our":[136],"can":[138],"effectively":[139],"detect":[145],"anomalies,":[146],"providing":[147],"new":[149],"solution":[152],"for":[153],"detection.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}