{"id":"https://openalex.org/W3163815538","doi":"https://doi.org/10.1109/icassp39728.2021.9415029","title":"Online Learning of Time-Varying Signals and Graphs","display_name":"Online Learning of Time-Varying Signals and Graphs","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163815538","doi":"https://doi.org/10.1109/icassp39728.2021.9415029","mag":"3163815538"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9415029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5043691564","display_name":"Stefania Sardellitti","orcid":"https://orcid.org/0000-0002-4749-2933"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefania Sardellitti","raw_affiliation_strings":["DIET, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DIET, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084159640","display_name":"Sergio Barbarossa","orcid":"https://orcid.org/0000-0001-9846-8741"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Barbarossa","raw_affiliation_strings":["DIET, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DIET, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000852147","display_name":"Paolo Di Lorenzo","orcid":"https://orcid.org/0000-0002-4130-3177"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Di Lorenzo","raw_affiliation_strings":["DIET, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"DIET, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043691564"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71807848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5230","last_page":"5234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9919000267982483,"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/T13553","display_name":"Age of Information Optimization","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/laplacian-matrix","display_name":"Laplacian matrix","score":0.5824061632156372},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.5529668927192688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5345401167869568},{"id":"https://openalex.org/keywords/topological-graph-theory","display_name":"Topological graph theory","score":0.4958222806453705},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48714277148246765},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.45331454277038574},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4217488169670105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.380788654088974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34965264797210693},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3022056519985199},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.28953391313552856},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.2817079424858093},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2165313959121704},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1690163016319275},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07514393329620361}],"concepts":[{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5824061632156372},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.5529668927192688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5345401167869568},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.4958222806453705},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48714277148246765},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.45331454277038574},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4217488169670105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.380788654088974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34965264797210693},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3022056519985199},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.28953391313552856},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.2817079424858093},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2165313959121704},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1690163016319275},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07514393329620361}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp39728.2021.9415029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9415029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1605507","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1605507","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1968248619","https://openalex.org/W2013737143","https://openalex.org/W2024457004","https://openalex.org/W2030254567","https://openalex.org/W2082473969","https://openalex.org/W2100556411","https://openalex.org/W2101491865","https://openalex.org/W2115706991","https://openalex.org/W2520179645","https://openalex.org/W2585019672","https://openalex.org/W2610805269","https://openalex.org/W2796431263","https://openalex.org/W2798585159","https://openalex.org/W2902637855","https://openalex.org/W2913825273","https://openalex.org/W2936036845","https://openalex.org/W2946123091","https://openalex.org/W3007598526","https://openalex.org/W3014231516","https://openalex.org/W3100489614"],"related_works":["https://openalex.org/W2188097034","https://openalex.org/W3004345458","https://openalex.org/W2029616478","https://openalex.org/W2478475484","https://openalex.org/W2081084405","https://openalex.org/W4386468260","https://openalex.org/W2795850273","https://openalex.org/W2537944959","https://openalex.org/W2557541666","https://openalex.org/W2782821035"],"abstract_inverted_index":{"The":[0,77],"aim":[1],"of":[2,13,19,41,45,64,98,108],"this":[3],"paper":[4],"is":[5,51,75],"to":[6,53],"propose":[7],"a":[8,42,60],"method":[9,50,79],"for":[10],"online":[11,106],"learning":[12,101],"time-varying":[14,84],"graphs":[15],"from":[16,28],"noisy":[17],"observations":[18],"smooth":[20],"graph":[21,56,73,85,91,109],"signals":[22],"collected":[23],"over":[24,47],"the":[25,35,39,49,55,65,72,83,89,96,99,104],"vertices.":[26],"Starting":[27],"an":[29],"initial":[30],"graph,":[31],"and":[32,87,111],"assuming":[33,70],"that":[34,71],"topology":[36],"can":[37],"undergo":[38],"perturbation":[40,62],"small":[43,61],"percentage":[44],"edges":[46],"time,":[48],"able":[52],"track":[54],"evolution":[57],"by":[58],"exploiting":[59],"analysis":[63],"Laplacian":[66],"matrix":[67],"eigendecomposition,":[68],"while":[69],"signal":[74,86,110],"bandlimited.":[76],"proposed":[78,100],"alternates":[80],"between":[81],"estimating":[82],"recovering":[88],"dynamic":[90],"topology.":[92,112],"Numerical":[93],"results":[94],"corroborate":[95],"effectiveness":[97],"strategy":[102],"in":[103],"joint":[105],"recovery":[107]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-05-24T00:00:00"}
