{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T10:27:28Z","timestamp":1769164048439,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20230564"],"award-info":[{"award-number":["BK20230564"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tnsm.2023.3252806","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T18:42:14Z","timestamp":1678128134000},"page":"4255-4267","source":"Crossref","is-referenced-by-count":9,"title":["Self-Supervised Learning IoT Device Features With Graph Contrastive Neural Network for Device Classification in Social Internet of Things"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6504-3851","authenticated-orcid":false,"given":"Bentian","family":"Li","sequence":"first","affiliation":[{"name":"Jiangsu Province Engineering Research Center of Knowledge Management and Intelligent Service, School of Information Engineering, Yangzhou University, Yangzhou, China"}]},{"given":"Yunxia","family":"Lin","sequence":"additional","affiliation":[{"name":"Jiangsu Province Engineering Research Center of Knowledge Management and Intelligent Service, School of Information Engineering, Yangzhou University, Yangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7180-8179","authenticated-orcid":false,"given":"Izhar Ahmed","family":"Khan","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2444095"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102869"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.001.1900064"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800512"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2012.07.010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2762678"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2955144"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2866249"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3035087"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2008.080406"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102538"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.283"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981333"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3172903"},{"key":"ref16","first-page":"1","article-title":"Deep graph contrastive representation learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML) Workshop Graph Represent. Learn. Beyond","author":"Zhu"},{"key":"ref17","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":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3170559"},{"key":"ref19","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kipf"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3099028"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2017.8116438"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-020-01241-0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3090866"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref27","first-page":"1","article-title":"Variational graph auto-encoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS) Workshop Bayesian Deep Learn.","author":"Kipf"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107248"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2018.8580830"},{"issue":"1","key":"ref30","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","first-page":"1","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Clevert"},{"key":"ref32","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.bjp.2013.12.020"},{"key":"ref34","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Mikolov"},{"key":"ref35","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref36","article-title":"Grid search, random search, genetic algorithm: A big comparison for NAS","author":"Liashchynskyi","year":"2019","journal-title":"arXiv:1912.06059"},{"issue":"11","key":"ref37","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00220"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/10355751\/10059194.pdf?arnumber=10059194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:03:17Z","timestamp":1703030597000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10059194\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":39,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2023.3252806","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}