{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:03:44Z","timestamp":1776441824151,"version":"3.51.2"},"reference-count":341,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tsp.2024.3349788","type":"journal-article","created":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T20:25:38Z","timestamp":1704918338000},"page":"4745-4781","source":"Crossref","is-referenced-by-count":100,"title":["Graph Filters for Signal Processing and Machine Learning on Graphs"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1919-260X","authenticated-orcid":false,"given":"Elvin","family":"Isufi","sequence":"first","affiliation":[{"name":"Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6117-8193","authenticated-orcid":false,"given":"Fernando","family":"Gama","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1989-3190","authenticated-orcid":false,"given":"David I","family":"Shuman","sequence":"additional","affiliation":[{"name":"Franklin W. Olin College of Engineering, Needham, MA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8408-9633","authenticated-orcid":false,"given":"Santiago","family":"Segarra","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Discrete-Time Signal Processing","author":"Oppenheim","year":"2010"},{"key":"ref2","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2739099"},{"key":"ref4","article-title":"Geometric deep learning: Grids, groups, graphs, geodesics, and gauges","author":"Bronstein","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014591"},{"issue":"92","key":"ref7","volume-title":"Spectral Graph Theory","author":"Chung","year":"1997"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2703660"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2018.2824239"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2904925"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218473"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0015544"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45167-9_12"},{"key":"ref14","first-page":"132","article-title":"A regularization framework for learning from graph data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhou","year":"2004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72823-8_12"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.05.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.21236\/ADA442573"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2006.04.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.925261"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2321121"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3016143"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482225"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449953"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3055400"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3111054"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/9781108552349"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-813677-5.00011-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3015024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014590"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2733767"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3166401"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3075145"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2988255"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3071480"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2014.02.026"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2330357"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2804318"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2890143"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2887284"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2864654"},{"key":"ref44","volume-title":"Networks of the Brain","author":"Sporns","year":"2016"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4gh1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2016.2600859"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0001550"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2010.11.027"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.21413"},{"key":"ref51","volume-title":"Signals and Systems","author":"Oppenheim","year":"1997"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726979"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2886151"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2870386"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3026980"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2614793"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2784359"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/S0041-5553(89)80020-5"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2021.3065977"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3181540"},{"key":"ref61","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611975949","volume-title":"Approximation Theory and Approximation Practice","author":"Trefethen","year":"2019"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3390\/a13090214"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/a13110295"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2017.8313101"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2018.2854627"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8309036"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2628343"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108180"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231913"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2023.3300632"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414909"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2294644"},{"key":"ref73","article-title":"Graph blind deconvolution with sparseness constraint","author":"Iwata","year":"2020"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2993780"},{"key":"ref75","article-title":"Blind demixing of diffused graph signals","author":"Iglesias","year":"2020"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2387204"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2879624"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.07.010"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3029699"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2448655"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952931"},{"key":"ref82","volume-title":"Statistical Digital Signal Processing and Modeling","author":"Hayes","year":"2009"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8903022"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702252"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747730"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311576"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443317"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON50793.2020.9293870"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/SampTA45681.2019.9030999"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2964214"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/SSPD51364.2021.9541468"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3099630"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/DSLW53931.2022.9820575"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3054523"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2016.7905859"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2017.8313120"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2955832"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP49062.2020.9231732"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2022.3156886"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2712141"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2620116"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2021.3056897"},{"key":"ref103","first-page":"1042","article-title":"Trend filtering on graphs","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Wang","year":"2015"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2019.2957717"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/EUSIPCO.2015.7362637"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2690388"},{"key":"ref107","article-title":"Graph signal processing-a probabilistic framework","author":"Zhang","year":"2015"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853770"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2018.8450828"},{"key":"ref110","article-title":"Wiener filters on graphs and distributed polynomial approximation algorithms","author":"Zheng","year":"2022"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2022.10.003"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2954981"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9048759"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/s43670-021-00019-x"},{"key":"ref115","article-title":"The stanford 3D scanning repository","year":"2023"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2424203"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2259825"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2015.09.005"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18284-1_20"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726972"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2016.2581303"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.3390\/a13110295"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2922160"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195094237.003.0002"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1117\/12.2022850"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2345355"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638232"},{"key":"ref129","article-title":"Semi-supervised learning with spectral graph wavelets","volume-title":"Proc. Int. Conf. Sampling Theory Appl.","author":"Shuman","year":"2011"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16817-3_27"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.06.010"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220025"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5651072"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952885"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2460216"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3257983"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2188718"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2273197"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2733489"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2718969"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.07.003"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738172"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6736918"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2017.10.002"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472446"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2620111"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2906776"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2368128"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793133"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2514490"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00672.x"},{"key":"ref152","first-page":"441","article-title":"Lifting based wavelet transforms on graphs","author":"Narang","year":"2009","journal-title":"Proc. Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. (APSIPA ASC)"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.23919\/APSIPA.2018.8659561"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2976550"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2512529"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2328983"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2365761"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2544747"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2469645"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2923142"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2892033"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2903683"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3059203"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2369013"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2896246"},{"key":"ref166","first-page":"3237","article-title":"Spectrally approximating large graphs with smaller graphs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Loukas","year":"2018"},{"issue":"116","key":"ref167","first-page":"1","article-title":"Graph reduction with spectral and cut guarantees","volume":"20","author":"Loukas","year":"2019","journal-title":"J. Mach. Learn. Res."},{"key":"ref168","first-page":"4452","article-title":"Graph coarsening with preserved spectral properties","volume-title":"Proc. Int. Conf. Artif. Intell., Statist.","author":"Jin","year":"2020"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2332441"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2591513"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2013.6694319"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref173","first-page":"831","article-title":"Principles of risk minimization for learning theory","author":"Vapnik","year":"1991","journal-title":"Proc. Conf. Neural Inf. Process. Syst."},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.01.021"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1923-7"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0666-6"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481916"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014594"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1606.09375"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2887403"},{"key":"ref182","first-page":"1","article-title":"Spectral networks and deep locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bruna","year":"2014"},{"key":"ref183","first-page":"7264","article-title":"Convolutional neural networks on graphs with Chebyshev approximation, revisited","volume":"35","author":"He","year":"2022","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref184","first-page":"14239","article-title":"BernNet: Learning arbitrary graph spectral filters via Bernstein approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"He","year":"2021"},{"key":"ref185","first-page":"23341","article-title":"How powerful are spectral graph neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang","year":"2022"},{"key":"ref186","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref187","article-title":"Revisiting graph neural networks: All we have is low-pass filters","author":"Nt","year":"2019"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5747"},{"key":"ref189","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Wu","year":"2019"},{"key":"ref190","first-page":"1","article-title":"How powerful are graph neural networks?","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2019"},{"key":"ref191","first-page":"1","article-title":"Inductive representation learning on large graphs","author":"Hamilton","year":"2017","journal-title":"Proc. Conf. Neural Inf. Process. Syst."},{"key":"ref192","first-page":"5453","article-title":"Representation learning on graphs with jumping knowledge networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xu","year":"2018"},{"key":"ref193","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velickovi\u0107","year":"2018"},{"key":"ref194","first-page":"3636","article-title":"Natural graph networks","volume-title":"Adv. Neural Inf. Process. Syst.,","volume":"33","author":"de Haan","year":"2020"},{"key":"ref195","first-page":"8038","article-title":"Stability of graph scattering transforms","author":"Gama","year":"2019","journal-title":"Proc. Conf. Neural Inf. Process. Syst."},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2019.06.003"},{"key":"ref197","first-page":"2122","article-title":"Geometric scattering for graph data analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Gao","year":"2019"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3025258"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2020.12.010"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2090535"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2012.6489385"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2016.2605763"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2899822"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-018-0584-2"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.10.026"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3024763"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2971237"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3169220"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.108489"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853764"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2819127"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.2307\/2528966"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000000281"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602809"},{"key":"ref215","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Kalofolias","year":"2016"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2731051"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439888"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2731164"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2975393"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2984499"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2018.2872157"},{"key":"ref222","doi-asserted-by":"publisher","DOI":"10.1201\/b12281"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2799702"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2303638"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651400"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.924284"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2016.7905882"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2014.6890711"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738252"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2016.2532464"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2015.7324315"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9048703"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/CCECE.2017.7946596"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050992"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3160003"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2876603"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2005.1583238"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853763"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2346657"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2018.8645186"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2907410"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2016.2520885"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.23919\/CCC52363.2021.9550188"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2018.8619602"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC52312.2021.9602336"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2018.8450786"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1109\/ICCA51439.2020.9264556"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2014.7032244"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1007\/s43670-021-00019-x"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3038528"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2706186"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108216"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3092336"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3010610"},{"key":"ref255","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3244101"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1145\/322063.322067"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3004912"},{"key":"ref258","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443349"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755577"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2017.8309030"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3139208"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682784"},{"key":"ref263","article-title":"Task-based graph signal compression","author":"Li","year":"2021"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3053643"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.3046217"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.3046237"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2313528"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2022.3142509"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2889984"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155478"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-29349-9_5"},{"key":"ref272","first-page":"1002","article-title":"Compressive spectral clustering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tremblay","year":"2016"},{"key":"ref273","first-page":"40","article-title":"Spectral clustering via the power method-provably","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Boutsidis","year":"2015"},{"key":"ref274","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054241"},{"key":"ref275","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2961296"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3016494"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3093765"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3167525"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413857"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2021.3107628"},{"key":"ref281","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2022.3149098"},{"key":"ref282","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01629-6"},{"key":"ref283","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu269"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288473"},{"issue":"1","key":"ref285","first-page":"38","article-title":"A survey on the matrix completion problem","volume":"4","author":"Lee","year":"2001","journal-title":"Trends Math."},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1145\/3568022"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972801.18"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25856-5_28"},{"key":"ref289","article-title":"Matrix completion on graphs","author":"Kalofolias","year":"2014"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.5555\/2969442.2969475"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102459"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346985"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482264"},{"key":"ref296","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2018.03.001"},{"key":"ref297","doi-asserted-by":"publisher","DOI":"10.1109\/mcse.2023.3342149"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053859"},{"key":"ref299","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2023.3265160"},{"key":"ref300","first-page":"2593","article-title":"Mat\u00e9rn Gaussian processes on graphs","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Borovitskiy","year":"2021"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2408631"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2984780"},{"key":"ref303","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3111440"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3194869"},{"key":"ref305","first-page":"869","article-title":"Graph-based classification of omnidirectional images","volume-title":"Proc. IEEE Int. Conf. Comput. Vis.","author":"Khasanova","year":"2017"},{"key":"ref306","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886788"},{"key":"ref307","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00478"},{"key":"ref308","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00653"},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2529506"},{"key":"ref310","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_32"},{"key":"ref311","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00121"},{"key":"ref312","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7020020"},{"key":"ref313","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref314","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-81638-4_3"},{"key":"ref315","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00236"},{"key":"ref316","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_45"},{"key":"ref317","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3115628"},{"key":"ref318","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2771730"},{"key":"ref319","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2969052"},{"key":"ref320","article-title":"Spectral graph based approach for analysis of 3D LIDAR point clouds","author":"Bayram","year":"2017"},{"key":"ref321","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553205"},{"key":"ref322","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532620"},{"key":"ref323","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2019.8901695"},{"key":"ref324","article-title":"GSPBOX: A toolbox for signal processing on graphs","author":"Perraudin","year":"2014"},{"key":"ref325","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.8005300"},{"key":"ref326","article-title":"Fast graph representation learning with PyTorch Geometric","author":"Fey","year":"2019"},{"key":"ref327","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2016.7905873"},{"key":"ref328","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2775589"},{"key":"ref329","doi-asserted-by":"publisher","DOI":"10.1109\/DSLW53931.2022.9820066"},{"key":"ref330","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref331","doi-asserted-by":"publisher","DOI":"10.1016\/j.watres.2022.118416"},{"key":"ref332","doi-asserted-by":"publisher","DOI":"10.1109\/ieeeconf51394.2020.9443573"},{"key":"ref333","doi-asserted-by":"publisher","DOI":"10.1017\/9781108770996"},{"key":"ref334","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3013555"},{"key":"ref335","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014067"},{"key":"ref336","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108149"},{"key":"ref337","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3207045"},{"key":"ref338","first-page":"9020","article-title":"Principled simplicial neural networks for trajectory prediction","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Roddenberry","year":"2021"},{"key":"ref339","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472914"},{"key":"ref340","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2950213"},{"key":"ref341","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414275"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/10347386\/10388222.pdf?arnumber=10388222","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T23:57:28Z","timestamp":1732665448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10388222\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":341,"URL":"https:\/\/doi.org\/10.1109\/tsp.2024.3349788","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}