{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:07:51Z","timestamp":1777500471637,"version":"3.51.4"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"24","license":[{"start":{"date-parts":[[2019,12,15]],"date-time":"2019-12-15T00:00:00Z","timestamp":1576368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,15]],"date-time":"2019-12-15T00:00:00Z","timestamp":1576368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,15]],"date-time":"2019-12-15T00:00:00Z","timestamp":1576368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Vienna Science Fund","award":["ICT15-119"],"award-info":[{"award-number":["ICT15-119"]}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-15-1-0479"],"award-info":[{"award-number":["W911NF-15-1-0479"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2019,12,15]]},"DOI":"10.1109\/tsp.2019.2953593","type":"journal-article","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T20:49:51Z","timestamp":1573850991000},"page":"6256-6269","source":"Crossref","is-referenced-by-count":29,"title":["Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization"],"prefix":"10.1109","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7538-0990","authenticated-orcid":false,"given":"Alexander","family":"Jung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfred O.","family":"Hero III","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8358-9997","authenticated-orcid":false,"given":"Alexandru Cristian","family":"Mara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed","family":"Jahromi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3049-7746","authenticated-orcid":false,"given":"Ayelet","family":"Heimowitz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4358-5304","authenticated-orcid":false,"given":"Yonina C.","family":"Eldar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546233"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126441"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref32","author":"bertsekas","year":"1998","journal-title":"Network Optimization Continuous and Discrete Models"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1262177"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/11585978_10"},{"key":"ref37","first-page":"1","article-title":"Community detection and stochastic block models: Recent developments","volume":"18","author":"abbe","year":"2018","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/080744888"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619666"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16042-9_11"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/070706318"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2441042"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SAMPTA.2017.8024392"},{"key":"ref20","first-page":"1115","article-title":"Optimal rates for total variation denoising","volume":"49","author":"h\u00fctter","year":"0","journal-title":"Proc Annu Conf Learn Theory"},{"key":"ref22","first-page":"1190","article-title":"Algorithms for Lipschitz learning on graphs","author":"kyng","year":"0","journal-title":"Proc Conf Learn Theory"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2017.00028"},{"key":"ref24","author":"eldar","year":"2015","journal-title":"Sampling Theory Beyond Bandlimited Systems"},{"key":"ref23","first-page":"123","article-title":"Proximal algorithms","volume":"1","author":"parikh","year":"2013","journal-title":"Found Trends Optim"},{"key":"ref26","author":"foucart","year":"2012","journal-title":"A Mathematical Introduction to Compressive Sensing"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308"},{"key":"ref50","author":"kleinberg","year":"2006","journal-title":"Algorithm Design"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32278-5"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2013.24"},{"key":"ref57","article-title":"UCI machine learning repository","author":"lichman","year":"2013"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1465482.1465560"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.046110"},{"key":"ref54","article-title":"Spark: Cluster computing with working sets","author":"zaharia","year":"0","journal-title":"Proc 2nd USENIX Conf Hot Topics Cloud Comput"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2484425.2484427"},{"key":"ref52","first-page":"113","article-title":"Some recent applications of the theory of linear inequalities to extremal combinatorial analysis","author":"hoffman","year":"0","journal-title":"Proc Amer Math Soc Symp on Applied Math"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1326716"},{"key":"ref11","first-page":"1330","article-title":"Statistical analysis of semi-supervised learning: The limit of infinite unlabelled data","volume":"22","author":"nadler","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783313"},{"key":"ref12","first-page":"879","article-title":"Asymptotic behavior of $\\ell _p$-based Laplacian regularization in semi-supervised learning","author":"alaoui","year":"0","journal-title":"Proc Conf Learn Theory"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472903"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-010-0251-1"},{"key":"ref15","first-page":"1","article-title":"Trend filtering on graphs","volume":"17","author":"wang","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1656"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484192"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2018.00009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2018.00022"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198522195.001.0001","author":"lauritzen","year":"1996","journal-title":"Graphical Models"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"ref8","author":"koller","year":"2009","journal-title":"Probabilistic Graphical Models Principles and Techniques"},{"key":"ref7","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1287\/moor.24.2.383"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1561\/9781601984616","volume":"3","author":"boyd","year":"2010","journal-title":"Distributed optimization and statistical learning via the alternating direction method of multipliers"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2628036"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10957-012-0245-9"},{"key":"ref48","author":"barab\u00e1si","year":"2016","journal-title":"Network Science"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2488608.2488705"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1515\/9781400873173"},{"key":"ref41","author":"bertsekas","year":"1999","journal-title":"Nonlinear Programming"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/090756855"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48311-5"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/8930150\/08902040.pdf?arnumber=8902040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T01:32:46Z","timestamp":1722043966000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8902040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,15]]},"references-count":58,"journal-issue":{"issue":"24"},"URL":"https:\/\/doi.org\/10.1109\/tsp.2019.2953593","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,15]]}}}