{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T17:51:30Z","timestamp":1774893090070,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"24","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Internal Research Program of Purple Mountain Laboratories"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/jiot.2023.3303946","type":"journal-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:45:36Z","timestamp":1691689536000},"page":"22401-22414","source":"Crossref","is-referenced-by-count":26,"title":["Multiview Graph Contrastive Learning for Multivariate Time-Series Anomaly Detection in IoT"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4123-1991","authenticated-orcid":false,"given":"Shuxin","family":"Qin","sequence":"first","affiliation":[{"name":"Future Network Research Center, Purple Mountain Laboratories, Nanjing, China"}]},{"given":"Lin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8957-1020","authenticated-orcid":false,"given":"Yongcan","family":"Luo","sequence":"additional","affiliation":[{"name":"Future Network Research Center, Purple Mountain Laboratories, Nanjing, China"}]},{"given":"Gaofeng","family":"Tao","sequence":"additional","affiliation":[{"name":"Future Network Research Center, Purple Mountain Laboratories, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3034156"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3439950"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2570398"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3107975"},{"key":"ref6","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30490-4_56"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053558"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17152"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/315"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.07.179"},{"key":"ref14","article-title":"WaveNet: A generative model for raw audio","author":"Van Den Oord","year":"2016","journal-title":"arXiv:1609.03499"},{"key":"ref15","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv:1803.01271"},{"key":"ref16","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"30","author":"Vaswani"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3124061"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467401"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3100509"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3139916"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45681-3_2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401946"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2007.897589"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219845"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467137"},{"key":"ref31","first-page":"13016","article-title":"Timeseries anomaly detection using temporal hierarchical one-class network","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Shen"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10021063"},{"key":"ref34","first-page":"1","article-title":"Anomaly transformer: Time series anomaly detection with association discrepancy","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Xu"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096179"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/332"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3191493"},{"issue":"8","key":"ref38","first-page":"8037","article-title":"GCCAD: Graph contrastive learning for anomaly detection","volume":"35","author":"Chen","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/270"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117011"},{"key":"ref41","first-page":"1","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"You"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3090866"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.96"},{"key":"ref44","first-page":"15535","article-title":"Learning representations by maximizing mutual information across views","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Bachman"},{"key":"ref45","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Chen"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/414"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20871"},{"key":"ref49","first-page":"590","article-title":"Graph contrastive learning with asciitextadaptive augmentation for recommendation","volume-title":"Proc. ECML PKDD","author":"Jing"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512156"},{"key":"ref51","first-page":"1","article-title":"Categorical reparameterization with Gumbel-Softmax","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Jang"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CySWater.2016.7469060"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3055366.3055375"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467174"},{"key":"ref55","first-page":"1","article-title":"Automatic differentiation in PyTorch","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","author":"Paszke"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10353047\/10214266.pdf?arnumber=10214266","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:00:15Z","timestamp":1703030415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10214266\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":55,"journal-issue":{"issue":"24"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3303946","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,15]]}}}