{"id":"https://openalex.org/W4381786730","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152079","title":"Identification of Local Neighbourhoods in a Network for Graph-based Signal Reconstruction","display_name":"Identification of Local Neighbourhoods in a Network for Graph-based Signal Reconstruction","publication_year":2022,"publication_date":"2022-10-26","ids":{"openalex":"https://openalex.org/W4381786730","doi":"https://doi.org/10.1109/wf-iot54382.2022.10152079"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot54382.2022.10152079","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot54382.2022.10152079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","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/A5092246643","display_name":"Loay Rashid","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Loay Rashid","raw_affiliation_strings":["IIIT-Hyderabad,SPCRC,Hyderabad,India","SPCRC, IIIT-Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad,SPCRC,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"SPCRC, IIIT-Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006089040","display_name":"Santosh Nannuru","orcid":"https://orcid.org/0000-0003-3194-7953"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Nannuru","raw_affiliation_strings":["IIIT-Hyderabad,SPCRC,Hyderabad,India","SPCRC, IIIT-Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT-Hyderabad,SPCRC,Hyderabad,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"SPCRC, IIIT-Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092246643"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17923887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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":0.983299970626831,"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/T12292","display_name":"Graph Theory and Algorithms","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":0.6812742948532104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5330421328544617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4090229868888855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3911440670490265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812742948532104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5330421328544617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4090229868888855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3911440670490265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot54382.2022.10152079","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wf-iot54382.2022.10152079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829"],"abstract_inverted_index":{"The":[0],"Internet":[1],"of":[2,9,60,86,139,147],"Things":[3],"(IoT)":[4],"relies":[5],"heavily":[6],"on":[7,27,108,115],"exchange":[8],"data":[10,20,51],"collected":[11],"by":[12,66],"nodes":[13],"in":[14,95,131,136],"a":[15,25,28,109],"sensor":[16,50],"network.":[17],"This":[18],"network":[19,55],"can":[21],"be":[22],"represented":[23],"as":[24],"signal":[26,34,44,62],"graph":[29,33,43,61,69],"allowing":[30],"tools":[31],"from":[32,52],"processing":[35],"(GSP)":[36],"to":[37,47,74,104],"analyse":[38],"it.":[39],"Here,":[40,98],"we":[41,99],"utilize":[42],"reconstruction":[45,63,77,158],"algorithms":[46,64,103,112,125,155],"extrapolate":[48],"missing":[49],"partially":[53],"sampled":[54,120,140],"data.":[56],"An":[57],"important":[58],"class":[59],"operate":[65],"partitioning":[67],"the":[68,96,116,119,129,137],"vertices":[70],"into":[71],"local":[72,88,106,152],"sets":[73,107],"achieve":[75],"lower":[76],"errors":[78],"and":[79,121,150],"faster":[80],"convergence.":[81],"However,":[82],"methods":[83,130],"for":[84],"identification":[85],"these":[87],"neighbourhoods":[89],"have":[90],"not":[91],"been":[92],"clearly":[93],"studied":[94],"literature.":[97],"propose":[100],"two":[101],"flexible":[102],"generate":[105],"graph.":[110],"These":[111],"are":[113,126],"based":[114],"distance":[117],"between":[118],"unsampled":[122],"vertices.":[123,141],"Our":[124],"competitive":[127],"with":[128],"literature":[132],"while":[133],"offering":[134],"flexibility":[135],"number":[138],"We":[142],"carry":[143],"out":[144],"simulation-based":[145],"analysis":[146],"sampling":[148],"strategies":[149],"proposed":[151],"set":[153],"generation":[154],"using":[156],"local-set-based":[157],"algorithms.":[159]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}