{"id":"https://openalex.org/W2043730137","doi":"https://doi.org/10.1109/icassp.2014.6853770","title":"Semi-supervised learning for graph to signal mapping: A graph signal wiener filter interpretation","display_name":"Semi-supervised learning for graph to signal mapping: A graph signal wiener filter interpretation","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2043730137","doi":"https://doi.org/10.1109/icassp.2014.6853770","mag":"2043730137"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-00942695","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090833079","display_name":"Benjamin Girault","orcid":"https://orcid.org/0000-0001-8550-0001"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Benjamin Girault","raw_affiliation_strings":["\u00c9cole Normale Sup\u00e9rieure de Lyon","Ecole Normale Super. de Lyon, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Normale Sup\u00e9rieure de Lyon","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I113428412"]},{"raw_affiliation_string":"Ecole Normale Super. de Lyon, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101823619","display_name":"Paulo Gon\u00e7alv\u00e8s","orcid":"https://orcid.org/0000-0002-1781-6159"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paulo Goncalves","raw_affiliation_strings":["Inria","Ecole Normale Super. de Lyon, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Ecole Normale Super. de Lyon, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108074729","display_name":"\u00c9ric Fleury","orcid":null},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Eric Fleury","raw_affiliation_strings":["\u00c9cole Normale Sup\u00e9rieure de Lyon","Ecole Normale Super. de Lyon, Lyon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Normale Sup\u00e9rieure de Lyon","institution_ids":["https://openalex.org/I66867065","https://openalex.org/I113428412"]},{"raw_affiliation_string":"Ecole Normale Super. de Lyon, Lyon, France","institution_ids":["https://openalex.org/I113428412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076089806","display_name":"Arashpreet Singh Mor","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["FR","IN"],"is_corresponding":false,"raw_author_name":"Arashpreet Singh Mor","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Delhi","[INRIA-Sophia Antipolis, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"[INRIA-Sophia Antipolis, France]","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5185,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89586736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1115","last_page":"1119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9746000170707703,"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/computer-science","display_name":"Computer science","score":0.5994477868080139},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5016968250274658},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4925861954689026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4913691580295563},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.47517767548561096},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47162532806396484},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.4411686360836029},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39462125301361084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35666632652282715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32307177782058716},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15614232420921326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1510618031024933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5994477868080139},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5016968250274658},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4925861954689026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4913691580295563},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.47517767548561096},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47162532806396484},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.4411686360836029},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39462125301361084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35666632652282715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32307177782058716},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15614232420921326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1510618031024933},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6853770","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.471.2095","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.2095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal-ens-lyon.archives-ouvertes.fr/docs/00/99/07/95/PDF/paper.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00942695v2","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00942695","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.1115-1119, ⟨10.1109/ICASSP.2014.6853770⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00942695v2","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-00942695","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.1115-1119, ⟨10.1109/ICASSP.2014.6853770⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W19838944","https://openalex.org/W182321187","https://openalex.org/W379337736","https://openalex.org/W934261879","https://openalex.org/W1555811854","https://openalex.org/W1656240941","https://openalex.org/W1698699930","https://openalex.org/W1989445722","https://openalex.org/W1990334093","https://openalex.org/W1991252559","https://openalex.org/W1994727615","https://openalex.org/W2010821195","https://openalex.org/W2013477725","https://openalex.org/W2055026204","https://openalex.org/W2101491865","https://openalex.org/W2141490615","https://openalex.org/W2158787690","https://openalex.org/W2159929956","https://openalex.org/W2321939283","https://openalex.org/W2623965523","https://openalex.org/W2624434675","https://openalex.org/W2914997028","https://openalex.org/W2952206160","https://openalex.org/W3100528154","https://openalex.org/W3142588439","https://openalex.org/W3144746742","https://openalex.org/W4210770595","https://openalex.org/W6647849072","https://openalex.org/W6738705978","https://openalex.org/W6739008662"],"related_works":["https://openalex.org/W2363395155","https://openalex.org/W2353350167","https://openalex.org/W2375659797","https://openalex.org/W2131048104","https://openalex.org/W2614382458","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W2046778668","https://openalex.org/W2136367089","https://openalex.org/W2046546488"],"abstract_inverted_index":{"In":[0],"this":[1,60,91,103],"contribution,":[2],"we":[3,88],"investigate":[4],"a":[5,29,38,68,74,94],"graph":[6,39],"to":[7,34,40,67,105],"signal":[8,24,41],"mapping":[9],"with":[10,20,72],"the":[11,45,52,73,79],"objective":[12],"of":[13,18,37,59],"analysing":[14],"intricate":[15],"structural":[16],"properties":[17],"graphs":[19],"tools":[21],"borrowed":[22],"from":[23],"processing.":[25],"We":[26,99],"successfully":[27],"use":[28],"graph-based":[30],"semi-supervised":[31],"learning":[32],"approach":[33],"map":[35],"nodes":[36],"amplitudes":[42],"such":[43],"that":[44,63,87],"resulting":[46],"time":[47],"series":[48],"is":[49],"smooth":[50],"and":[51,55],"procedure":[53],"efficient":[54],"scalable.":[56],"Theoretical":[57],"analysis":[58,85],"method":[61],"reveals":[62],"it":[64],"essentially":[65],"amounts":[66],"linear":[69],"graph-shift-invariant":[70],"filter":[71,92,96],"priori":[75],"knowledge":[76],"put":[77],"into":[78],"training":[80],"set":[81],"as":[82,93],"input.":[83],"Further":[84],"shows":[86],"can":[89],"interpret":[90],"Wiener":[95],"on":[97],"graphs.":[98],"finally":[100],"build":[101],"upon":[102],"interpretation":[104],"improve":[106],"our":[107],"results.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}