{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:44:11Z","timestamp":1784645051265,"version":"3.55.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772211"],"award-info":[{"award-number":["61772211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Humanity and Social Science Youth Foundation of Ministry of Education of China","award":["19YJCZH049"],"award-info":[{"award-number":["19YJCZH049"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province of China","doi-asserted-by":"publisher","award":["2019A1515011292"],"award-info":[{"award-number":["2019A1515011292"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Support Program of Guangzhou City of China","award":["201905010006"],"award-info":[{"award-number":["201905010006"]}]},{"name":"Science and Technology Support Program of Guangzhou City of China","award":["201807010043"],"award-info":[{"award-number":["201807010043"]}]},{"name":"Science and Technology Support Program of Guangzhou City of China","award":["201803020033"],"award-info":[{"award-number":["201803020033"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2992269","type":"journal-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T19:34:21Z","timestamp":1588620861000},"page":"85441-85453","source":"Crossref","is-referenced-by-count":13,"title":["Network Embedding Using Deep Robust Nonnegative Matrix Factorization"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6651-1175","authenticated-orcid":false,"given":"Chaobo","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Fei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2283-5407","authenticated-orcid":false,"given":"Hanchao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.01.091"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271697"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"key":"ref32","first-page":"2111","article-title":"Network representation learning with rich text information","author":"yang","year":"2015","journal-title":"Proc 24th Int Joint Conf Artif Intell"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/544"},{"key":"ref30","first-page":"3889","article-title":"Max-margin deepwalk: Discriminative learning of network representation","author":"tu","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref37","first-page":"535","article-title":"Algorithms for non-negative matrix factorization","author":"lee","year":"2000","journal-title":"Proc 13th Int Conf Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.277"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.033"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref12","first-page":"203","article-title":"Community preserving network embedding","author":"wang","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.217"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.05.029"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2015.2440261"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2927496"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488393"},{"key":"ref4","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":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0210-x"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","article-title":"Link prediction in complex networks: A survey","volume":"390","author":"l\u00fc","year":"2011","journal-title":"Phys A Stat Mech Appl"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.028"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.01.106"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2016.09.002"},{"key":"ref9","first-page":"1145","article-title":"Deep neural networks for learning graph representations","author":"cao","year":"2016","journal-title":"Proc 13th AAAI Conf Artif Intell"},{"key":"ref1","author":"bhagat","year":"2011","journal-title":"Social Network Data Analytics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2663324"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873385"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2554555"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.08.095"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2850013"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09086036.pdf?arnumber=9086036","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:50Z","timestamp":1639770710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9086036\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2992269","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}