{"id":"https://openalex.org/W1540550726","doi":"https://doi.org/10.1109/tsp.2015.2441042","title":"Signal Recovery on Graphs: Variation Minimization","display_name":"Signal Recovery on Graphs: Variation Minimization","publication_year":2015,"publication_date":"2015-06-04","ids":{"openalex":"https://openalex.org/W1540550726","doi":"https://doi.org/10.1109/tsp.2015.2441042","mag":"1540550726"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2015.2441042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2441042","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1411.7414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066373402","display_name":"Siheng Chen","orcid":"https://orcid.org/0000-0002-9144-0583"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Siheng Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023723304","display_name":"Aliaksei Sandryhaila","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aliaksei Sandryhaila","raw_affiliation_strings":["Carnegie Mellon University","HP Vertica, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"HP Vertica, Pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose M. F. Moura","raw_affiliation_strings":["Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101863660","display_name":"Jelena Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0003-0139-2803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jelena Kovacevic","raw_affiliation_strings":["Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066373402"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":41.8136,"has_fulltext":false,"cited_by_count":297,"citation_normalized_percentile":{"value":0.9980506,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"63","issue":"17","first_page":"4609","last_page":"4624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.658353328704834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6007363200187683},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.5363467931747437},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5197058320045471},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4596632719039917},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4345974326133728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42620545625686646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36525988578796387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3234255909919739},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21945232152938843},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.07887530326843262}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.658353328704834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6007363200187683},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.5363467931747437},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5197058320045471},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4596632719039917},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4345974326133728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42620545625686646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36525988578796387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3234255909919739},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21945232152938843},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.07887530326843262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tsp.2015.2441042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2015.2441042","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1411.7414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.7414","pdf_url":"https://arxiv.org/pdf/1411.7414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.cmu.edu:ece-1294","is_oa":false,"landing_page_url":"http://repository.cmu.edu/ece/286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400668","display_name":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74973139","host_organization_name":"Carnegie Mellon University","host_organization_lineage":["https://openalex.org/I74973139"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Department of Electrical and Computer Engineering","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6469316","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:figshare.com:article/6469316","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Signal_Recovery_on_Graphs_Variation_Minimization/6469316","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"},{"id":"doi:10.1184/r1/6469316.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6469316.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1411.7414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1411.7414","pdf_url":"https://arxiv.org/pdf/1411.7414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2935452801","display_name":null,"funder_award_id":"1421919","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G339624602","display_name":null,"funder_award_id":"1011903","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4527902700","display_name":null,"funder_award_id":"1018509","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7890944670","display_name":null,"funder_award_id":"1130616","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8098130260","display_name":null,"funder_award_id":"FA95501210087","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W311100466","https://openalex.org/W331119053","https://openalex.org/W658512522","https://openalex.org/W1479822238","https://openalex.org/W1513335440","https://openalex.org/W1533368239","https://openalex.org/W1540550726","https://openalex.org/W1578099820","https://openalex.org/W1600546103","https://openalex.org/W1698699930","https://openalex.org/W1875112053","https://openalex.org/W1972048014","https://openalex.org/W1983058494","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W1995465677","https://openalex.org/W1998849268","https://openalex.org/W2001138152","https://openalex.org/W2004559848","https://openalex.org/W2005089986","https://openalex.org/W2016926874","https://openalex.org/W2024457004","https://openalex.org/W2024496749","https://openalex.org/W2027318585","https://openalex.org/W2030319053","https://openalex.org/W2030643321","https://openalex.org/W2047071281","https://openalex.org/W2059861509","https://openalex.org/W2065677362","https://openalex.org/W2070255353","https://openalex.org/W2085048703","https://openalex.org/W2092420213","https://openalex.org/W2097308346","https://openalex.org/W2101491865","https://openalex.org/W2103559027","https://openalex.org/W2103972604","https://openalex.org/W2104290444","https://openalex.org/W2104359797","https://openalex.org/W2104599248","https://openalex.org/W2111160863","https://openalex.org/W2114122776","https://openalex.org/W2115447612","https://openalex.org/W2115755118","https://openalex.org/W2118193919","https://openalex.org/W2119699244","https://openalex.org/W2122661899","https://openalex.org/W2124543570","https://openalex.org/W2124608575","https://openalex.org/W2126922884","https://openalex.org/W2131618209","https://openalex.org/W2131628350","https://openalex.org/W2136015602","https://openalex.org/W2136396015","https://openalex.org/W2136504847","https://openalex.org/W2139823104","https://openalex.org/W2140408177","https://openalex.org/W2145962650","https://openalex.org/W2146130798","https://openalex.org/W2150226602","https://openalex.org/W2152284345","https://openalex.org/W2154332973","https://openalex.org/W2158787690","https://openalex.org/W2164278908","https://openalex.org/W2164452299","https://openalex.org/W2185199324","https://openalex.org/W2296319761","https://openalex.org/W2296616510","https://openalex.org/W2492858802","https://openalex.org/W2534174629","https://openalex.org/W2538522328","https://openalex.org/W2572321817","https://openalex.org/W2611328865","https://openalex.org/W2616032753","https://openalex.org/W2997701990","https://openalex.org/W3003365835","https://openalex.org/W3101762025","https://openalex.org/W4230962939","https://openalex.org/W4237078129","https://openalex.org/W4238452917","https://openalex.org/W4242371708","https://openalex.org/W4244923699","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W4298404569","https://openalex.org/W4302067267","https://openalex.org/W6667172597","https://openalex.org/W6675747103","https://openalex.org/W6680434193","https://openalex.org/W6680702173","https://openalex.org/W6680914561","https://openalex.org/W6682042988"],"related_works":["https://openalex.org/W1966462872","https://openalex.org/W2963726738","https://openalex.org/W4297957985","https://openalex.org/W2409319478","https://openalex.org/W2139671140","https://openalex.org/W3213951060","https://openalex.org/W2046688153","https://openalex.org/W1875690517","https://openalex.org/W2951689389","https://openalex.org/W4298038717"],"abstract_inverted_index":{"We":[0,36,59,87],"consider":[1],"the":[2,53,89],"problem":[3],"of":[4,57,113],"signal":[5,21,39,62,77],"recovery":[6,22,40,78,94],"on":[7,17,92],"graphs.":[8],"Graphs":[9],"model":[10],"data":[11],"with":[12],"complex":[13],"structure":[14],"as":[15,41],"signals":[16,29],"a":[18,49],"graph.":[19],"Graph":[20],"recovers":[23],"one":[24],"or":[25,33],"multiple":[26],"smooth":[27],"graph":[28,38,76],"from":[30],"noisy,":[31],"corrupted,":[32],"incomplete":[34],"measurements.":[35],"formulate":[37],"an":[42],"optimization":[43],"problem,":[44],"for":[45,107],"which":[46],"we":[47],"provide":[48,80],"general":[50],"solution":[51],"through":[52],"alternating":[54],"direction":[55],"methods":[56,91],"multipliers.":[58],"show":[60],"how":[61],"inpainting,":[63],"matrix":[64],"completion,":[65],"robust":[66],"principal":[67],"component":[68],"analysis,":[69],"and":[70,79,84,109],"anomaly":[71],"detection":[72],"all":[73],"relate":[74],"to":[75],"corresponding":[81],"specific":[82],"solutions":[83],"theoretical":[85],"analysis.":[86],"validate":[88],"proposed":[90],"real-world":[93],"problems,":[95],"including":[96],"online":[97,114],"blog":[98,115],"classification,":[99],"bridge":[100],"condition":[101],"identification,":[102],"temperature":[103],"estimation,":[104],"recommender":[105],"system":[106],"jokes,":[108],"expert":[110],"opinion":[111],"combination":[112],"classification.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":34},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}