{"id":"https://openalex.org/W7212376973","doi":"https://doi.org/10.1016/j.sigpro.2026.110911","title":"Exogenous-driven time-varying graph learning for incomplete graph signal reconstruction","display_name":"Exogenous-driven time-varying graph learning for incomplete graph signal reconstruction","publication_year":2026,"publication_date":"2026-09-12","ids":{"openalex":"https://openalex.org/W7212376973","doi":"https://doi.org/10.1016/j.sigpro.2026.110911"},"language":"en","primary_location":{"id":"doi:10.1016/j.sigpro.2026.110911","doi":"https://doi.org/10.1016/j.sigpro.2026.110911","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.sigpro.2026.110911","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7212376973"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5151499812","display_name":"Yuting Cao","orcid":"https://orcid.org/0009-0006-7660-1779","observed_orcids":["https://orcid.org/0009-0006-7660-1779"]},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Cao","raw_affiliation_strings":["School of Information Intelligent Science, Donghua University, 2999 North Renmin Road, Shanghai, 201620, China"],"raw_orcid":"https://orcid.org/0009-0006-7660-1779","affiliations":[{"raw_affiliation_string":"School of Information Intelligent Science, Donghua University, 2999 North Renmin Road, Shanghai, 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101818152","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-0417-7191","observed_orcids":["https://orcid.org/0000-0002-0417-7191"]},"institutions":[{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Feng","raw_affiliation_strings":["School of Electronic and Information, Shanghai Dianji University, 300 Shuihua Road, Shanghai, 201306, China"],"raw_orcid":"https://orcid.org/0000-0002-0417-7191","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Shanghai Dianji University, 300 Shuihua Road, Shanghai, 201306, China","institution_ids":["https://openalex.org/I4210156189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101818152"],"corresponding_institution_ids":["https://openalex.org/I4210156189"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"251","issue":null,"first_page":"110911","last_page":"110911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.989300012588501,"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":0.989300012588501,"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":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/graph-signal-reconstruction","display_name":"graph signal reconstruction","score":0.9909999966621399},{"id":"https://openalex.org/keywords/dynamic-graphs","display_name":"dynamic graphs","score":0.9700000286102295},{"id":"https://openalex.org/keywords/graph-learning","display_name":"graph learning","score":0.609000027179718},{"id":"https://openalex.org/keywords/exogenous-variables","display_name":"exogenous variables","score":0.6140000224113464},{"id":"https://openalex.org/keywords/spatio-temporal-graph","display_name":"spatio-temporal graph","score":0.6539999842643738}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156000256538391},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.48190000653266907},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4699999988079071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.421099990606308},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.37720000743865967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C2986651925","wikidata":"https://www.wikidata.org/wiki/Q1514868","display_name":"Graph algorithms","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.2944999933242798},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.27079999446868896},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.sigpro.2026.110911","doi":"https://doi.org/10.1016/j.sigpro.2026.110911","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.sigpro.2026.110911","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2006165291","https://openalex.org/W2101491865","https://openalex.org/W2173251738","https://openalex.org/W2796431263","https://openalex.org/W2964012239","https://openalex.org/W4200541415","https://openalex.org/W4281940593","https://openalex.org/W4295277196","https://openalex.org/W4320000432","https://openalex.org/W4391678677","https://openalex.org/W4404238313","https://openalex.org/W4404479692","https://openalex.org/W4411086312","https://openalex.org/W4415195438","https://openalex.org/W4416054686","https://openalex.org/W7118927414"],"related_works":["https://openalex.org/W7160246761","https://openalex.org/W4226124542","https://openalex.org/W4293863290","https://openalex.org/W4391678677","https://openalex.org/W4406110731","https://openalex.org/W4408352442","https://openalex.org/W4392752455","https://openalex.org/W4230238350","https://openalex.org/W4375868840","https://openalex.org/W4416054686"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-13T00:00:00"}
