{"id":"https://openalex.org/W2585597914","doi":"https://doi.org/10.1109/lsp.2017.2704359","title":"When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum","display_name":"When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum","publication_year":2017,"publication_date":"2017-05-15","ids":{"openalex":"https://openalex.org/W2585597914","doi":"https://doi.org/10.1109/lsp.2017.2704359","mag":"2585597914"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2704359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2704359","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1701.08401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dimitri Van De Ville","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160687","display_name":"Wyss Center for Bio and Neuroengineering","ror":"https://ror.org/05tg4dc47","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210160687"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dimitri Van De Ville","raw_affiliation_strings":["Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I4210160687"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Robin Demesmaeker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160687","display_name":"Wyss Center for Bio and Neuroengineering","ror":"https://ror.org/05tg4dc47","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210160687"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Robin Demesmaeker","raw_affiliation_strings":["Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I4210160687"]}]},{"author_position":"last","author":{"id":null,"display_name":"Maria Giulia Preti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160687","display_name":"Wyss Center for Bio and Neuroengineering","ror":"https://ror.org/05tg4dc47","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210160687"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Maria Giulia Preti","raw_affiliation_strings":["Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Bioengineering/Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I4210160687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.098,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.93223169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"7","first_page":"1001","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9751999974250793,"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":0.9751999974250793,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.005900000222027302,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.004999999888241291,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/butterfly-graph","display_name":"Butterfly graph","score":0.6295999884605408},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.6283000111579895},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.6262000203132629},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.5253000259399414},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.5232999920845032},{"id":"https://openalex.org/keywords/random-geometric-graph","display_name":"Random geometric graph","score":0.5230000019073486},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.5063999891281128},{"id":"https://openalex.org/keywords/complement-graph","display_name":"Complement graph","score":0.4675999879837036},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.4291999936103821}],"concepts":[{"id":"https://openalex.org/C18819970","wikidata":"https://www.wikidata.org/wiki/Q3035340","display_name":"Butterfly graph","level":5,"score":0.6295999884605408},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.6283000111579895},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.6262000203132629},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.5253000259399414},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.5232999920845032},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.5230000019073486},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.5063999891281128},{"id":"https://openalex.org/C168291704","wikidata":"https://www.wikidata.org/wiki/Q902252","display_name":"Complement graph","level":5,"score":0.4675999879837036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45179998874664307},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.4291999936103821},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.42879998683929443},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C78913703","wikidata":"https://www.wikidata.org/wiki/Q5597087","display_name":"Graph energy","level":5,"score":0.40849998593330383},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3797000050544739},{"id":"https://openalex.org/C7948225","wikidata":"https://www.wikidata.org/wiki/Q4723998","display_name":"Algebraic connectivity","level":4,"score":0.37439998984336853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3736000061035156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C204710682","wikidata":"https://www.wikidata.org/wiki/Q3036983","display_name":"Integral graph","level":5,"score":0.35679998993873596},{"id":"https://openalex.org/C199692417","wikidata":"https://www.wikidata.org/wiki/Q7269362","display_name":"Quartic graph","level":5,"score":0.3149000108242035},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C202183611","wikidata":"https://www.wikidata.org/wiki/Q7520883","display_name":"Simplex graph","level":5,"score":0.2689000070095062},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.26809999346733093},{"id":"https://openalex.org/C147792647","wikidata":"https://www.wikidata.org/wiki/Q5282847","display_name":"Distance-hereditary graph","level":5,"score":0.265500009059906},{"id":"https://openalex.org/C123482549","wikidata":"https://www.wikidata.org/wiki/Q826467","display_name":"Regular graph","level":5,"score":0.2635999917984009},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.2603999972343445},{"id":"https://openalex.org/C148067565","wikidata":"https://www.wikidata.org/wiki/Q3323718","display_name":"Moral graph","level":5,"score":0.2540000081062317}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2017.2704359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2704359","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1701.08401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.08401","pdf_url":"https://arxiv.org/pdf/1701.08401","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:infoscience.epfl.ch:229548","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/229548","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1701.08401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.08401","pdf_url":"https://arxiv.org/pdf/1701.08401","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1512522810","https://openalex.org/W1980431326","https://openalex.org/W1991252559","https://openalex.org/W2021969242","https://openalex.org/W2046193047","https://openalex.org/W2064855647","https://openalex.org/W2067111814","https://openalex.org/W2097308346","https://openalex.org/W2101491865","https://openalex.org/W2111160863","https://openalex.org/W2132914434","https://openalex.org/W2158787690","https://openalex.org/W2161763921","https://openalex.org/W2167208435","https://openalex.org/W2215668387","https://openalex.org/W4238452917"],"related_works":[],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,17,24,54,66,90],"complex":[3],"systems":[4],"greatly":[5],"benefits":[6],"from":[7,27],"graph":[8,19,45,61,68,75,92,104,117,125],"models":[9],"and":[10,39,78,116],"their":[11],"analysis.":[12],"In":[13],"particular,":[14],"the":[15,18,31,35,52,60,64,67,74,88],"eigendecomposition":[16,65],"Laplacian":[20,69,114],"lets":[21],"emerge":[22],"properties":[23],"global":[25],"organization":[26],"local":[28],"interactions;":[29],"e.g.,":[30],"Fiedler":[32],"vector":[33],"has":[34],"smallest":[36],"nonzero":[37],"eigenvalue":[38],"plays":[40],"a":[41,99,103,109,121],"key":[42],"role":[43],"for":[44],"clustering.":[46],"Graph":[47],"signal":[48],"processing":[49],"focuses":[50],"on":[51],"analysis":[53],"signals":[55,93],"that":[56],"are":[57],"attributed":[58],"to":[59,72,83,123],"nodes.":[62],"Again,":[63],"is":[70],"important":[71],"define":[73],"Fourier":[76],"transform":[77],"extend":[79],"conventional":[80],"signal-processing":[81],"operations":[82],"graphs.":[84],"Here,":[85],"we":[86],"introduce":[87],"design":[89],"Slepian":[91],"by":[94],"maximizing":[95],"energy":[96],"concentration":[97],"in":[98],"predefined":[100],"subgraph":[101],"given":[102],"spectral":[105],"bandlimit.":[106],"We":[107],"establish":[108],"novel":[110],"link":[111],"with":[112],"classical":[113],"embedding":[115],"clustering,":[118],"which":[119],"provides":[120],"meaning":[122],"localized":[124],"frequencies.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-02-10T00:00:00"}