{"id":"https://openalex.org/W3021385550","doi":"https://doi.org/10.1109/tac.2021.3137157","title":"Data-Driven Link Prediction Over Graphical Models","display_name":"Data-Driven Link Prediction Over Graphical Models","publication_year":2021,"publication_date":"2021-12-21","ids":{"openalex":"https://openalex.org/W3021385550","doi":"https://doi.org/10.1109/tac.2021.3137157","mag":"3021385550"},"language":"en","primary_location":{"id":"doi:10.1109/tac.2021.3137157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2021.3137157","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","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/2004.14187","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074866198","display_name":"Daniele Alpago","orcid":"https://orcid.org/0000-0002-6982-6949"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Alpago","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy",">University of Padua"],"raw_orcid":"https://orcid.org/0000-0002-6982-6949","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":">University of Padua","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088792059","display_name":"Mattia Zorzi","orcid":"https://orcid.org/0000-0002-5581-5210"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Zorzi","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy",">University of Padua"],"raw_orcid":"https://orcid.org/0000-0002-5581-5210","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":">University of Padua","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005905901","display_name":"Augusto Ferrante","orcid":"https://orcid.org/0000-0002-9001-8962"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Augusto Ferrante","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy",">University of Padua"],"raw_orcid":"https://orcid.org/0000-0002-9001-8962","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":">University of Padua","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.116,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37147766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"68","issue":"4","first_page":"2215","last_page":"2228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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":0.9797000288963318,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9380999803543091,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7400237321853638},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6898535490036011},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.6581695079803467},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.626556932926178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5774664878845215},{"id":"https://openalex.org/keywords/parameter-identification-problem","display_name":"Parameter identification problem","score":0.5724478363990784},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.54393470287323},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5300112962722778},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5262260437011719},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4930259883403778},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4852569103240967},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4560437798500061},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4550006687641144},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4224085211753845},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41875702142715454},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4124559760093689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36402392387390137},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35517358779907227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2566232681274414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18716838955879211},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.07502466440200806},{"id":"https://openalex.org/keywords/model-parameter","display_name":"Model parameter","score":0.06974130868911743}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7400237321853638},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6898535490036011},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.6581695079803467},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.626556932926178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5774664878845215},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.5724478363990784},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.54393470287323},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5300112962722778},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5262260437011719},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4930259883403778},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4852569103240967},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4560437798500061},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4550006687641144},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4224085211753845},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41875702142715454},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4124559760093689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36402392387390137},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35517358779907227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2566232681274414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18716838955879211},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.07502466440200806},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.06974130868911743},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tac.2021.3137157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tac.2021.3137157","pdf_url":null,"source":{"id":"https://openalex.org/S184954342","display_name":"IEEE Transactions on Automatic Control","issn_l":"0018-9286","issn":["0018-9286","1558-2523","2334-3303"],"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 Automatic Control","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2004.14187","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.14187","pdf_url":"https://arxiv.org/pdf/2004.14187","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":"","raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/3491782","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3491782","pdf_url":"https://www.research.unipd.it/bitstream/11577/3491782/4/2004.14187v1.pdf","source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"mag:3021385550","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2004.14187.pdf","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2004.14187","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.14187","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.14187","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.14187","pdf_url":"https://arxiv.org/pdf/2004.14187","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1456532987","https://openalex.org/W1482500327","https://openalex.org/W1496923911","https://openalex.org/W1502322820","https://openalex.org/W1554412071","https://openalex.org/W1653619892","https://openalex.org/W1685862830","https://openalex.org/W1867429253","https://openalex.org/W1911841135","https://openalex.org/W1927802821","https://openalex.org/W1963871118","https://openalex.org/W1968624811","https://openalex.org/W1991286145","https://openalex.org/W1996564243","https://openalex.org/W1997927852","https://openalex.org/W2017754977","https://openalex.org/W2021981219","https://openalex.org/W2023949578","https://openalex.org/W2037933327","https://openalex.org/W2040061802","https://openalex.org/W2066629158","https://openalex.org/W2091019377","https://openalex.org/W2101108259","https://openalex.org/W2101196063","https://openalex.org/W2101918153","https://openalex.org/W2102762459","https://openalex.org/W2103637013","https://openalex.org/W2105139914","https://openalex.org/W2112856361","https://openalex.org/W2113642685","https://openalex.org/W2125082260","https://openalex.org/W2138056643","https://openalex.org/W2141844446","https://openalex.org/W2144096031","https://openalex.org/W2146143400","https://openalex.org/W2151755225","https://openalex.org/W2159520972","https://openalex.org/W2160612502","https://openalex.org/W2167370693","https://openalex.org/W2168822076","https://openalex.org/W2170060163","https://openalex.org/W2178935672","https://openalex.org/W2228063151","https://openalex.org/W2485390190","https://openalex.org/W2745791324","https://openalex.org/W2762742184","https://openalex.org/W2885408128","https://openalex.org/W2902391757","https://openalex.org/W2963711574","https://openalex.org/W2964126306","https://openalex.org/W2964282423","https://openalex.org/W2964468196","https://openalex.org/W2998878641","https://openalex.org/W3015511536","https://openalex.org/W3046515498","https://openalex.org/W3100152849","https://openalex.org/W3100504980","https://openalex.org/W3106352524","https://openalex.org/W3195972336","https://openalex.org/W4229706427","https://openalex.org/W4232932184","https://openalex.org/W4238253035","https://openalex.org/W4241026100","https://openalex.org/W4301021743","https://openalex.org/W4388323202","https://openalex.org/W6629474112","https://openalex.org/W6676884259","https://openalex.org/W6679756184"],"related_works":["https://openalex.org/W3195972336","https://openalex.org/W3004272652","https://openalex.org/W2181356457","https://openalex.org/W2963158960","https://openalex.org/W3213170387","https://openalex.org/W2810923210","https://openalex.org/W3085815969","https://openalex.org/W3102937128","https://openalex.org/W2791722249","https://openalex.org/W2104166164","https://openalex.org/W3149359620","https://openalex.org/W2594893730","https://openalex.org/W3203198828","https://openalex.org/W2796919988","https://openalex.org/W2854287044","https://openalex.org/W1713680391","https://openalex.org/W3121169149","https://openalex.org/W2518648773","https://openalex.org/W3124334693","https://openalex.org/W2907327299"],"abstract_inverted_index":{"The":[0,72,82],"positive":[1],"link":[2],"prediction":[3],"problem":[4,84,122],"is":[5,85],"formulated":[6],"in":[7,65],"a":[8,62,96,126],"system":[9],"identification":[10,26,83,104],"framework:":[11],"We":[12,109],"consider":[13],"dynamic":[14],"graphical":[15,107],"models":[16],"for":[17,75,102],"autoregressive":[18],"moving-average":[19],"(ARMA)":[20],"Gaussian":[21],"random":[22],"processes.":[23],"For":[24],"the":[25,28,47,50,53,67,76,99,103,111,116,135],"of":[27,52,79,98,105,115,118,137],"parameters,":[29],"we":[30,44,124],"model":[31,68],"our":[32,138],"network":[33],"on":[34],"two":[35],"different":[36],"time":[37],"scales:":[38],"A":[39],"quicker":[40],"one,":[41],"over":[42],"which":[43,66,91],"assume":[45],"that":[46],"process":[48],"representing":[49],"dynamics":[51],"agents":[54],"can":[55,92],"be":[56,59,93],"considered":[57],"to":[58,128],"stationary,":[60],"and":[61,113,123],"slower":[63],"one":[64],"parameters":[69],"may":[70],"vary.":[71],"latter":[73],"accounts":[74],"possible":[77],"appearance":[78],"new":[80],"edges.":[81],"cast":[86],"into":[87],"an":[88,120],"optimization":[89,121],"framework":[90],"seen":[94],"as":[95],"generalization":[97],"existing":[100],"methods":[101],"ARMA":[106],"models.":[108],"prove":[110],"existence":[112],"uniqueness":[114],"solution":[117],"such":[119],"propose":[125],"procedure":[127],"compute":[129],"numerically":[130],"this":[131],"solution.":[132],"Simulations":[133],"testing":[134],"performances":[136],"method":[139],"are":[140],"provided.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}