{"id":"https://openalex.org/W2475363806","doi":"https://doi.org/10.1109/ict.2016.7500431","title":"Clustering based downsampling and reconstruction for band-limited graph signal","display_name":"Clustering based downsampling and reconstruction for band-limited graph signal","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2475363806","doi":"https://doi.org/10.1109/ict.2016.7500431","mag":"2475363806"},"language":"en","primary_location":{"id":"doi:10.1109/ict.2016.7500431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2016.7500431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101518967","display_name":"Lishan Yang","orcid":"https://orcid.org/0000-0002-3691-7377"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishan Yang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112685301","display_name":"Wenbin Guo","orcid":"https://orcid.org/0000-0001-9476-6178"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04103271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9847999811172485,"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/upsampling","display_name":"Upsampling","score":0.7571345567703247},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.6635754704475403},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.6035199761390686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5592406988143921},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.514183759689331},{"id":"https://openalex.org/keywords/graph-energy","display_name":"Graph energy","score":0.5097541213035583},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5019538402557373},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4961925148963928},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4634411633014679},{"id":"https://openalex.org/keywords/discrete-time-signal","display_name":"Discrete-time signal","score":0.46277129650115967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4525531828403473},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.43819698691368103},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41582241654396057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38198092579841614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3259512186050415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2736555337905884},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.22329601645469666},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.20044869184494019},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1768428385257721},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.1381291151046753},{"id":"https://openalex.org/keywords/signal-transfer-function","display_name":"Signal transfer function","score":0.08584710955619812}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7571345567703247},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.6635754704475403},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.6035199761390686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5592406988143921},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.514183759689331},{"id":"https://openalex.org/C78913703","wikidata":"https://www.wikidata.org/wiki/Q5597087","display_name":"Graph energy","level":5,"score":0.5097541213035583},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5019538402557373},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4961925148963928},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4634411633014679},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.46277129650115967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4525531828403473},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.43819698691368103},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41582241654396057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38198092579841614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3259512186050415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2736555337905884},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.22329601645469666},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.20044869184494019},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1768428385257721},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.1381291151046753},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.08584710955619812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict.2016.7500431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict.2016.7500431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Telecommunications (ICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1698699930","https://openalex.org/W2024457004","https://openalex.org/W2030319053","https://openalex.org/W2030643321","https://openalex.org/W2036284383","https://openalex.org/W2042210493","https://openalex.org/W2095414057","https://openalex.org/W2101491865","https://openalex.org/W2119699244","https://openalex.org/W2132914434","https://openalex.org/W2963521934"],"related_works":["https://openalex.org/W2136935487","https://openalex.org/W1547104907","https://openalex.org/W259034802","https://openalex.org/W4205746804","https://openalex.org/W1853489623","https://openalex.org/W2032317191","https://openalex.org/W2970328715","https://openalex.org/W4352976663","https://openalex.org/W1971368490","https://openalex.org/W2475363806"],"abstract_inverted_index":{"Graphs":[0],"are":[1,120],"flexible":[2],"data":[3,35,48],"representation":[4],"tools,":[5],"suitable":[6],"for":[7],"modeling":[8],"the":[9,53,64,88,106,112,116,124,127],"geometric":[10],"structure":[11],"of":[12,52,67,115,126],"topologically":[13],"complicated":[14],"domains":[15],"which":[16],"signals":[17],"reside.":[18],"Signal":[19],"processing":[20,25,32,94],"on":[21,49,87],"graphs":[22],"extends":[23],"signal":[24,31,42,78,93],"concepts":[26,95],"and":[27,81,96],"methodologies":[28],"from":[29,46],"classical":[30],"theory":[33],"to":[34,111,122],"indexed":[36],"by":[37,55],"general":[38],"graphs.":[39],"Band-limited":[40],"graph":[41,68,77,92],"can":[43,103],"be":[44],"reconstructed":[45],"sampled":[47],"a":[50,75],"sub-set":[51],"vertices":[54],"exploiting":[56],"its":[57,82],"spatial":[58],"correlation.":[59],"The":[60,99],"Laplacian":[61,89],"matrix":[62],"contains":[63],"important":[65],"information":[66],"structure.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"propose":[74],"band-limited":[76],"downsampling":[79,101,108],"algorithm":[80,102],"corresponding":[83],"reconstruction":[84],"strategy":[85],"based":[86],"Eigenvector,":[90],"using":[91],"clustering":[97],"strategy.":[98,129],"proposed":[100,128],"efficiently":[104],"captures":[105],"critical":[107],"vertex":[109],"according":[110],"cut-off":[113],"frequency":[114],"graph-spectral":[117],"domain.":[118],"Experiments":[119],"conducted":[121],"show":[123],"effectiveness":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}