{"id":"https://openalex.org/W3044848353","doi":"https://doi.org/10.1109/tsipn.2020.3010613","title":"Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems","display_name":"Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044848353","doi":"https://doi.org/10.1109/tsipn.2020.3010613","mag":"3044848353"},"language":"en","primary_location":{"id":"doi:10.1109/tsipn.2020.3010613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2020.3010613","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal and Information Processing over Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Recovery_of_time-varying_graph_signals_via_distributed_algorithms_on_regularized_problems/20694346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036506457","display_name":"Junzheng Jiang","orcid":"https://orcid.org/0000-0002-3767-8216"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junzheng Jiang","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074687233","display_name":"D.B.H. Tay","orcid":"https://orcid.org/0000-0001-5285-7426"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David B. Tay","raw_affiliation_strings":["School of Information Technology, Deakin University, Waurn Ponds, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Waurn Ponds, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039394045","display_name":"Qiyu Sun","orcid":"https://orcid.org/0000-0002-0341-313X"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiyu Sun","raw_affiliation_strings":["Department of Mathematics, University of Central Florida, Orlando, Florida"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Central Florida, Orlando, Florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081255313","display_name":"Shan Ouyang","orcid":"https://orcid.org/0000-0002-9513-8648"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Ouyang","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036506457"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":2.4469,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91255678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"540","last_page":"555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6958591938018799},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5993165969848633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.565996527671814},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.535575270652771},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5045627355575562},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.47162437438964844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3110795021057129},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29212042689323425},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.28707796335220337}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6958591938018799},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5993165969848633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.565996527671814},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.535575270652771},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5045627355575562},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.47162437438964844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3110795021057129},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29212042689323425},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.28707796335220337},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsipn.2020.3010613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2020.3010613","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal and Information Processing over Networks","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30141051","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20694346","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Recovery_of_time-varying_graph_signals_via_distributed_algorithms_on_regularized_problems/20694346","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20694346","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Recovery_of_time-varying_graph_signals_via_distributed_algorithms_on_regularized_problems/20694346","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1425087834","display_name":null,"funder_award_id":"DMS1816313","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G244949372","display_name":null,"funder_award_id":"61871425,","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G73447190","display_name":null,"funder_award_id":"61761011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W630423399","https://openalex.org/W1501565421","https://openalex.org/W1528049813","https://openalex.org/W1540550726","https://openalex.org/W1568130442","https://openalex.org/W1698699930","https://openalex.org/W1983058494","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W2004559848","https://openalex.org/W2016423476","https://openalex.org/W2018095698","https://openalex.org/W2024496749","https://openalex.org/W2027579212","https://openalex.org/W2029411311","https://openalex.org/W2050023599","https://openalex.org/W2095340415","https://openalex.org/W2101491865","https://openalex.org/W2103559027","https://openalex.org/W2104064396","https://openalex.org/W2121820607","https://openalex.org/W2160197540","https://openalex.org/W2164278908","https://openalex.org/W2185199324","https://openalex.org/W2215668387","https://openalex.org/W2296495263","https://openalex.org/W2345689776","https://openalex.org/W2508385416","https://openalex.org/W2520179645","https://openalex.org/W2537046506","https://openalex.org/W2616297073","https://openalex.org/W2734408317","https://openalex.org/W2736005225","https://openalex.org/W2739744923","https://openalex.org/W2781888589","https://openalex.org/W2796431263","https://openalex.org/W2798585159","https://openalex.org/W2804375450","https://openalex.org/W2885104635","https://openalex.org/W2913535645","https://openalex.org/W2947626232","https://openalex.org/W2949126699","https://openalex.org/W2949959605","https://openalex.org/W2962802415","https://openalex.org/W2962817598","https://openalex.org/W2963384510","https://openalex.org/W2963728452","https://openalex.org/W2963738599","https://openalex.org/W2964105372","https://openalex.org/W2964200687","https://openalex.org/W2964228184","https://openalex.org/W2994097903","https://openalex.org/W3100282875","https://openalex.org/W4230938240","https://openalex.org/W4241652050","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2533995846","https://openalex.org/W3131586246","https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W4283017538","https://openalex.org/W1996936972","https://openalex.org/W2028208404","https://openalex.org/W2004501529","https://openalex.org/W1545275724","https://openalex.org/W2135993528"],"abstract_inverted_index":{"The":[0,70,138,178,222],"recovery":[1,65,152,219],"of":[2,31,42,66,99,164,170,190,195,240,258],"missing":[3],"samples":[4],"from":[5,127],"available":[6],"noisy":[7],"measurements":[8],"is":[9,18,78,108,155,198,208],"a":[10,52,71,119,148,216,238],"fundamental":[11],"problem":[12],"in":[13,51,95,118,232,256],"signal":[14,24,77],"processing.":[15],"This":[16],"process":[17],"also":[19],"sometimes":[20],"known":[21],"as":[22],"graph":[23,44,68,84,160],"inpainting,":[25],"reconstruction,":[26],"forecasting":[27],"or":[28],"inference.":[29],"Many":[30],"the":[32,40,43,64,76,83,100,135,141,159,165,171,181,188,191,202,211,247,253,259],"existing":[33,254],"algorithms":[34,62,112,225,249],"do":[35],"not":[36,175],"scale":[37],"well":[38],"with":[39,80],"size":[41],"and/or":[45],"they":[46],"cannot":[47],"be":[48,93,115],"implemented":[49,117],"efficiently":[50,116],"distributed":[53,61,120,124,149,217,224],"manner.":[54,121],"In":[55],"this":[56],"paper,":[57],"we":[58],"develop":[59,201],"efficient":[60],"for":[63],"time-varying":[67],"signals.":[69],"priori":[72],"assumptions":[73,91],"are":[74,131,174,250],"that":[75,113,157,246],"smooth":[79],"respect":[81],"to":[82,110,133,200,214,252],"topology":[85,161],"and":[86,147,162,187,242,262],"correlative":[87],"across":[88],"time.":[89],"These":[90],"can":[92,114],"incorporated":[94,209],"an":[96],"optimization":[97,136],"formulation":[98,107],"algorithm":[101,153,220],"via":[102],"Tikhonov":[103],"regularization":[104],"terms.":[105],"Our":[106],"tailored":[109],"yield":[111],"Two":[122],"different":[123,129],"algorithms,":[125],"arising":[126],"two":[128,223],"formulations,":[130],"proposed":[132,156,248],"solve":[134],"problems.":[137],"first":[139],"involves":[140,180],"\u2113":[142,182],"<sub":[143,183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[144,184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[145],"-norm,":[146],"least":[150],"squared":[151],"(DLSRA)":[154],"leverages":[158],"sparsity":[163],"corresponding":[166],"Hessian":[167,172],"matrix.":[168],"Updates":[169],"inverse":[173],"required":[176],"here.":[177],"second":[179],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[185],"-norm":[186],"philosophy":[189],"alternating":[192],"direction":[193],"method":[194,207],"multipliers":[196],"(ADMM)":[197],"utilized":[199],"algorithm.":[203],"An":[204],"inexact":[205],"Newton":[206],"into":[210],"conventional":[212],"ADMM":[213,218],"give":[215],"(DAMRA).":[221],"require":[226],"only":[227],"data":[228],"exchanges":[229],"between":[230],"vertices":[231],"localized":[233],"neighbourhood":[234],"subgraphs.":[235],"Experiments":[236],"on":[237],"variety":[239],"synthetic":[241],"real-world":[243],"datasets":[244],"demonstrate":[245],"superior":[251],"methods":[255],"terms":[257],"computational":[260],"complexity":[261],"convergence":[263],"rate.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}