{"id":"https://openalex.org/W3018968320","doi":null,"title":"Explainable Unsupervised Change-point Detection via Graph Neural Networks","display_name":"Explainable Unsupervised Change-point Detection via Graph Neural Networks","publication_year":2020,"publication_date":"2020-04-24","ids":{"openalex":"https://openalex.org/W3018968320","mag":"3018968320"},"language":"en","primary_location":{"id":"mag:3018968320","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2004.11934","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2004.11934","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037514751","display_name":"Ruohong Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruohong Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032594700","display_name":"Hao Yu","orcid":"https://orcid.org/0000-0002-4821-7837","observed_orcids":["https://orcid.org/0000-0002-4821-7837","https://orcid.org/0009-0006-7711-4366"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Yu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4821-7837","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102073967","display_name":"Donghan Yu","orcid":"https://orcid.org/0009-0002-3310-1505","observed_orcids":["https://orcid.org/0009-0002-3310-1505"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghan Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006559148","display_name":"Wei-Cheng Chang","orcid":"https://orcid.org/0000-0002-5646-9356","observed_orcids":["https://orcid.org/0000-0002-5646-9356"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei-Cheng Chang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5646-9356","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015579277","display_name":"Guokun Lai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guokun Lai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041434096","display_name":"Yiming Yang","orcid":"https://orcid.org/0000-0003-1359-0364","observed_orcids":["https://orcid.org/0000-0003-1359-0364","https://orcid.org/0009-0000-3406-7252","https://orcid.org/0009-0008-4425-3356"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Yang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1359-0364","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.7759000062942505,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.7759000062942505,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.1316000074148178,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.05009999871253967,"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/change-point-detection","display_name":"change point detection","score":0.9919999837875366},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.7720000147819519},{"id":"https://openalex.org/keywords/multivariate-time-series","display_name":"multivariate time series","score":0.8040000200271606},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.8799999952316284},{"id":"https://openalex.org/keywords/encoder-decoder-architecture","display_name":"encoder-decoder architecture","score":0.8289999961853027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872537732124329},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6556099653244019},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6496604084968567},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6124314665794373},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5556589365005493},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5539553761482239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5484885573387146},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5414467453956604},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5058183670043945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47208330035209656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4340376853942871},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41049546003341675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3964133560657501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18747934699058533},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18408015370368958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3018968320","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2004.11934","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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}],"best_oa_location":{"id":"mag:3018968320","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2004.11934","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1457965568","https://openalex.org/W2022749020","https://openalex.org/W2026297770","https://openalex.org/W2043944339","https://openalex.org/W2090985066","https://openalex.org/W2091442045","https://openalex.org/W2108328714","https://openalex.org/W2114001875","https://openalex.org/W2136816045","https://openalex.org/W2142561902","https://openalex.org/W2143394441","https://openalex.org/W2157331557","https://openalex.org/W2212660284","https://openalex.org/W2252007665","https://openalex.org/W2547875792","https://openalex.org/W2626778328","https://openalex.org/W2739716254","https://openalex.org/W2765932895","https://openalex.org/W2902164678","https://openalex.org/W2911475851","https://openalex.org/W2954731415","https://openalex.org/W2964338167"],"related_works":["https://openalex.org/W3085644176","https://openalex.org/W3098655923","https://openalex.org/W7112521157","https://openalex.org/W4383815589","https://openalex.org/W4362508158","https://openalex.org/W4308670117","https://openalex.org/W2949437032","https://openalex.org/W7055220346","https://openalex.org/W3203120216","https://openalex.org/W3197906183"],"abstract_inverted_index":{"Change-point":[0],"detection":[1],"(CPD)":[2],"aims":[3],"at":[4],"detecting":[5],"the":[6,43,46,74,77,92,104,116,123,133,138],"abrupt":[7],"property":[8,16],"changes":[9,17,32,37,47],"lying":[10],"behind":[11,45,76],"time":[12,21],"series":[13,22],"data.":[14],"The":[15],"in":[18,48],"a":[19,53,65,85],"multivariate":[20],"often":[23],"result":[24],"from":[25,30],"highly":[26],"entangled":[27],"reasons,":[28],"ranging":[29],"independent":[31,96],"of":[33,68,119,137],"variables":[34],"to":[35,41,131],"correlation":[36,93],"between":[38],"variables.":[39],"Learning":[40],"uncover":[42],"reasons":[44,75],"an":[49],"unsupervised":[50],"setting":[51],"is":[52],"new":[54],"and":[55,95,111,135],"challenging":[56],"task.":[57],"Previous":[58],"CPD":[59,124],"methods":[60],"usually":[61],"detect":[62],"change-points":[63],"by":[64,98],"divergence":[66],"estimation":[67],"statistical":[69],"features,":[70],"without":[71],"delving":[72],"into":[73,103],"detected":[78],"changes.":[79,140],"In":[80],"this":[81],"paper,":[82],"we":[83,114],"propose":[84],"correlation-aware":[86],"dynamics":[87],"model":[88,121],"which":[89],"separately":[90],"predicts":[91],"change":[94,97],"incorporating":[99],"graph":[100],"neural":[101],"networks":[102],"encoder-decoder":[105],"framework.":[106],"Through":[107],"experiments":[108],"on":[109,122],"synthetic":[110],"real-world":[112],"datasets,":[113],"demonstrate":[115],"enhanced":[117],"performance":[118],"our":[120],"tasks":[125],"as":[126,128],"well":[127],"its":[129],"ability":[130],"interpret":[132],"nature":[134],"degree":[136],"predicted":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-09T09:14:12.587421","created_date":"2020-05-01T00:00:00"}