{"id":"https://openalex.org/W4221142436","doi":"https://doi.org/10.1109/icassp43922.2022.9746676","title":"Blind Extraction of Equitable Partitions from Graph Signals","display_name":"Blind Extraction of Equitable Partitions from Graph Signals","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4221142436","doi":"https://doi.org/10.1109/icassp43922.2022.9746676"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746676","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.05407","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019071473","display_name":"Michael Scholkemper","orcid":"https://orcid.org/0000-0002-3669-8119"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Scholkemper","raw_affiliation_strings":["RWTH Aachen University,Department of Computer Science,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081194289","display_name":"Michael Schaub","orcid":"https://orcid.org/0000-0003-2745-0557"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael T. Schaub","raw_affiliation_strings":["RWTH Aachen University,Department of Computer Science,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University,Department of Computer Science,Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"5832","last_page":"5836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9747999906539917,"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":0.9747999906539917,"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":0.006500000134110451,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.0017000000225380063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.6213849782943726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60056471824646},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5708475112915039},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5133470892906189},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5095505714416504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49672943353652954},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48432672023773193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30950674414634705},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1003156304359436}],"concepts":[{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.6213849782943726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60056471824646},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5708475112915039},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5133470892906189},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5095505714416504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49672943353652954},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48432672023773193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30950674414634705},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1003156304359436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746676","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.05407","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.05407","pdf_url":"https://arxiv.org/pdf/2203.05407","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:publications.rwth-aachen.de:845130","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/845130","pdf_url":"https://publications.rwth-aachen.de/record/845130/files/845130.pdf","source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"8 Seiten (2022). doi:10.48550/ARXIV.2203.05407","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:publications.rwth-aachen.de:847263","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/847263","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : 7-13 May 2022, virtual (all paper presentations) : 22-27 May 2022, main venue: Marina Bay Sands Expo & Convention Center, Singapore, satellite venue: Shenzhen, China / sponsored by: the Institute of Electrical and Electronics Engineers, Signal Processing Society<br/>IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, online, 2022-05-23 - 2022-05-27","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2203.05407","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.05407","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.17023/7v63-n677","is_oa":true,"landing_page_url":"https://doi.org/10.17023/7v63-n677","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"},{"id":"doi:10.18154/rwth-2022-04418","is_oa":true,"landing_page_url":"https://doi.org/10.18154/rwth-2022-04418","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.05407","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.05407","pdf_url":"https://arxiv.org/pdf/2203.05407","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":24,"referenced_works":["https://openalex.org/W1986955161","https://openalex.org/W2057864643","https://openalex.org/W2068361557","https://openalex.org/W2076828119","https://openalex.org/W2127048411","https://openalex.org/W2156488704","https://openalex.org/W2164727176","https://openalex.org/W2293163859","https://openalex.org/W2510701725","https://openalex.org/W2789679217","https://openalex.org/W2796431263","https://openalex.org/W2890261666","https://openalex.org/W2964012239","https://openalex.org/W2997990309","https://openalex.org/W3004186216","https://openalex.org/W3015738439","https://openalex.org/W3016063358","https://openalex.org/W3022064553","https://openalex.org/W4235019172","https://openalex.org/W4248776151","https://openalex.org/W4288080007","https://openalex.org/W6632724306","https://openalex.org/W6689213722","https://openalex.org/W6802223717"],"related_works":["https://openalex.org/W388271","https://openalex.org/W1358953","https://openalex.org/W506101","https://openalex.org/W157535","https://openalex.org/W137529","https://openalex.org/W431092","https://openalex.org/W16055224","https://openalex.org/W17580785","https://openalex.org/W13494650","https://openalex.org/W15029670"],"abstract_inverted_index":{"Finding":[0],"equitable":[1,50,145],"partitions":[2],"is":[3],"closely":[4],"related":[5],"to":[6,47,93,101,119,127,141],"the":[7,56,59,66,69,91,94,103,107,125,132,143,153],"extraction":[8],"of":[9,13,18,52,58,68,71,131],"graph":[10,74,95,133],"symmetries":[11],"and":[12,30,97,135,161,170],"interest":[14],"in":[15,43,86],"a":[16,39,53,84,99,120,137],"variety":[17],"applications":[19],"context":[20],"such":[21],"as":[22],"node":[23],"role":[24],"detection,":[25],"cluster":[26],"synchronization,":[27],"consensus":[28],"dynamics,":[29],"network":[31,54],"control":[32,90],"problems.":[33],"In":[34],"this":[35,117,156],"work":[36],"we":[37,45,77,82,88,115,148],"study":[38],"blind":[40],"identification":[41],"problem":[42],"which":[44,87],"aim":[46],"recover":[48],"an":[49,72],"partition":[51,104],"without":[55],"knowledge":[57],"network\u2019s":[60],"edges":[61],"but":[62],"based":[63],"solely":[64],"on":[65,152],"observations":[67],"outputs":[70,126],"unknown":[73],"filter.":[75],"Specifically,":[76],"consider":[78,83],"two":[79],"settings.":[80],"First,":[81],"scenario":[85],"can":[89],"input":[92],"filter":[96],"present":[98,136],"method":[100],"extract":[102,142],"inspired":[105],"by":[106],"well":[108],"known":[109],"Weisfeiler-Lehman":[110],"(color":[111],"refinement)":[112],"algorithm.":[113],"Second,":[114],"generalize":[116],"idea":[118],"setting":[121],"where":[122],"only":[123],"observe":[124],"random,":[128],"low-rank":[129],"excitations":[130],"filter,":[134],"simple":[138],"spectral":[139,157],"algorithm":[140],"relevant":[144],"partitions.":[146],"Finally,":[147],"establish":[149],"theoretical":[150,168],"bounds":[151],"error":[154],"that":[155,165],"detection":[158],"scheme":[159],"incurs":[160],"perform":[162],"numerical":[163],"experiments":[164],"illustrate":[166],"our":[167],"results":[169],"compare":[171],"both":[172],"algorithms.":[173]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-04-03T00:00:00"}