{"id":"https://openalex.org/W4324396060","doi":"https://doi.org/10.23919/eusipco58844.2023.10290030","title":"Joint Graph and Vertex Importance Learning","display_name":"Joint Graph and Vertex Importance Learning","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4324396060","doi":"https://doi.org/10.23919/eusipco58844.2023.10290030"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290030","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.08552","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/I84009706","display_name":"ENSAE Paris","ror":"https://ror.org/01fz7mn40","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108488","https://openalex.org/I4210145102","https://openalex.org/I84009706"]},{"id":"https://openalex.org/I4210137396","display_name":"Centre de Recherche en \u00c9conomie et Statistique","ror":"https://ror.org/0449khs19","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142476485","https://openalex.org/I4210108488","https://openalex.org/I4210108488","https://openalex.org/I4210137396","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210150854","https://openalex.org/I84009706"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210094214","display_name":"\u00c9cole Nationale de la Statistique et de l'Analyse de l'Information","ror":"https://ror.org/00k206f19","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210094214","https://openalex.org/I4210108488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Benjamin Girault","raw_affiliation_strings":["Université de Rennes,ENSAI, CNRS, CREST-UMR,Rennes,France,9194","ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (Campus de Ker-Lann \r\nRue Blaise Pascal \r\nBP 37203 \r\n35172 BRUZ cedex - France)"],"affiliations":[{"raw_affiliation_string":"Université de Rennes,ENSAI, CNRS, CREST-UMR,Rennes,France,9194","institution_ids":["https://openalex.org/I84009706","https://openalex.org/I4210094214","https://openalex.org/I4210137396","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] (Campus de Ker-Lann \r\nRue Blaise Pascal \r\nBP 37203 \r\n35172 BRUZ cedex - France)","institution_ids":["https://openalex.org/I84009706","https://openalex.org/I4210094214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034283584","display_name":"Eduardo Pav\u00e9z","orcid":"https://orcid.org/0000-0001-8985-2872"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eduardo Pavez","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,USA","Signal and Image Processing Institute (Signal and Image Processing Institute University of Southern California 3740 McClintock Ave., Room 400 Los Angeles, CA 90089-2564 - United States)"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute (Signal and Image Processing Institute University of Southern California 3740 McClintock Ave., Room 400 Los Angeles, CA 90089-2564 - United States)","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040001106","display_name":"Antonio Ortega","orcid":"https://orcid.org/0000-0001-5403-0940"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Ortega","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California,Los Angeles,USA","Signal and Image Processing Institute (Signal and Image Processing Institute University of Southern California 3740 McClintock Ave., Room 400 Los Angeles, CA 90089-2564 - United States)"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Signal and Image Processing Institute (Signal and Image Processing Institute University of Southern California 3740 McClintock Ave., Room 400 Los Angeles, CA 90089-2564 - United States)","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090833079"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210094214","https://openalex.org/I4210137396","https://openalex.org/I84009706"],"apc_list":null,"apc_paid":null,"fwci":0.1719,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52496129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1858","last_page":"1862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9976999759674072,"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":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5421266555786133},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5384049415588379},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5211734175682068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5141168236732483},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43439802527427673},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3533909320831299},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33109208941459656}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5421266555786133},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5384049415588379},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5211734175682068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5141168236732483},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43439802527427673},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3533909320831299},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33109208941459656}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290030","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.08552","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08552","pdf_url":"https://arxiv.org/pdf/2303.08552","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:HAL:hal-04025968v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04025968","pdf_url":"https://hal.science/hal-04025968/document","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://hal.science/hal-04025968","raw_type":"info:eu-repo/semantics/preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.08552","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08552","pdf_url":"https://arxiv.org/pdf/2303.08552","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324396060.pdf","grobid_xml":"https://content.openalex.org/works/W4324396060.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W356566955","https://openalex.org/W2043730137","https://openalex.org/W2299462150","https://openalex.org/W2399508263","https://openalex.org/W2496675188","https://openalex.org/W2615556757","https://openalex.org/W2617467128","https://openalex.org/W2794319422","https://openalex.org/W2796431263","https://openalex.org/W2796728297","https://openalex.org/W2963089591","https://openalex.org/W2963384510","https://openalex.org/W2994097903","https://openalex.org/W3008709738","https://openalex.org/W3014007829","https://openalex.org/W3091766805","https://openalex.org/W3098325012","https://openalex.org/W3100282875","https://openalex.org/W3142000089","https://openalex.org/W3158593217","https://openalex.org/W3201120062","https://openalex.org/W4286888877","https://openalex.org/W4308495838","https://openalex.org/W6612144952","https://openalex.org/W6712486374","https://openalex.org/W6739593606","https://openalex.org/W6785756702","https://openalex.org/W6794833561","https://openalex.org/W6803388931","https://openalex.org/W6810228445"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2980963558","https://openalex.org/W1882246857","https://openalex.org/W3103304230","https://openalex.org/W2185360082","https://openalex.org/W1992365905","https://openalex.org/W1976691234","https://openalex.org/W3212023493","https://openalex.org/W2090715877","https://openalex.org/W3111310291"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"explore":[4],"the":[5,11,14,20,24],"topic":[6],"of":[7,13,22],"graph":[8,25,42],"learning":[9,23],"from":[10],"perspective":[12],"Irregularity-Aware":[15],"Graph":[16],"Fourier":[17],"Transform,":[18],"with":[19,43,67],"goal":[21],"signal":[26],"space":[27],"inner":[28],"product":[29],"to":[30,39,50,62],"better":[31],"model":[32],"data.":[33],"We":[34],"propose":[35],"a":[36,41,63,68],"novel":[37],"method":[38],"learn":[40],"smaller":[44],"edge":[45],"weight":[46],"upper":[47],"bounds":[48],"compared":[49,61],"combinatorial":[51,64],"Laplacian":[52,65],"approaches.":[53],"Experimentally,":[54],"our":[55],"approach":[56],"yields":[57],"much":[58],"sparser":[59],"graphs":[60],"approach,":[66],"more":[69],"interpretable":[70],"model.":[71]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}