{"id":"https://openalex.org/W4291907001","doi":"https://doi.org/10.1109/icccs55155.2022.9846007","title":"Research on Target Grouping Method Based on Graph Neural Network","display_name":"Research on Target Grouping Method Based on Graph Neural Network","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4291907001","doi":"https://doi.org/10.1109/icccs55155.2022.9846007"},"language":"en","primary_location":{"id":"doi:10.1109/icccs55155.2022.9846007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846007","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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/A5100722697","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0003-1524-385X"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Naval University of Engineering,School of Electronic Engineering,Wuhan,China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering,School of Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041754542","display_name":"Pengfei Peng","orcid":"https://orcid.org/0000-0001-8381-551X"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Peng","raw_affiliation_strings":["Naval University of Engineering,School of Electronic Engineering,Wuhan,China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering,School of Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052296697","display_name":"Rui L\u00fc","orcid":"https://orcid.org/0000-0003-1225-9135"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Lu","raw_affiliation_strings":["Naval University of Engineering,School of Electronic Engineering,Wuhan,China","School of Electronic Engineering, Naval University of Engineering, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Naval University of Engineering,School of Electronic Engineering,Wuhan,China","institution_ids":["https://openalex.org/I2800710378"]},{"raw_affiliation_string":"School of Electronic Engineering, Naval University of Engineering, Wuhan, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100722697"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12662014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"32","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9057000279426575,"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/T13676","display_name":"Educational and Technological Research","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7730444073677063},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7688984870910645},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.7144553065299988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5764630436897278},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5751718878746033},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5377161502838135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.521480917930603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.512390673160553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4007786810398102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36516350507736206},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12558168172836304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730444073677063},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7688984870910645},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.7144553065299988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5764630436897278},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5751718878746033},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5377161502838135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.521480917930603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.512390673160553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4007786810398102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36516350507736206},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12558168172836304},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs55155.2022.9846007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs55155.2022.9846007","pdf_url":null,"source":{"id":"https://openalex.org/S4363608130","display_name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","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":2,"referenced_works":["https://openalex.org/W2964732194","https://openalex.org/W3192375950"],"related_works":["https://openalex.org/W1984179778","https://openalex.org/W2363573290","https://openalex.org/W2387459700","https://openalex.org/W2362261179","https://openalex.org/W4296209631","https://openalex.org/W2383940993","https://openalex.org/W2354389285","https://openalex.org/W2387678935","https://openalex.org/W3199256956","https://openalex.org/W2049323830"],"abstract_inverted_index":{"With":[0],"the":[1,11,17,48,70,115,118,122,141],"application":[2],"of":[3,7,29,72,85,121,144],"a":[4,24,91],"large":[5],"number":[6],"battlefield":[8,12,65],"observation":[9],"sensors,":[10],"target":[13,30,49,61,66,74,86,92,123],"data":[14,32,129],"obtained":[15],"by":[16],"command":[18],"and":[19,40,106,109,138,146,156],"control":[20],"system":[21],"has":[22,56],"shown":[23],"surge":[25],"trend.":[26],"The":[27,52],"scale":[28],"information":[31],"is":[33,153],"large,":[34],"problems":[35],"such":[36],"as":[37],"high":[38],"dimensionality":[39],"complex":[41],"structure":[42],"have":[43],"brought":[44],"new":[45],"challenges":[46],"to":[47,59,79,113],"grouping":[50,62,75,93],"technology.":[51],"traditional":[53],"clustering":[54,107,124,132],"method":[55,152],"been":[57],"unable":[58],"effectively":[60],"in":[63,77],"high-dimensional":[64,128],"data.":[67],"Aiming":[68],"at":[69],"dilemma":[71],"current":[73],"technology,":[76],"order":[78],"help":[80],"commanders":[81],"get":[82],"different":[83],"types":[84],"groups,":[87],"this":[88],"paper":[89],"constructs":[90],"algorithm":[94],"based":[95],"on":[96,126],"graph":[97,102],"neural":[98,104],"network,":[99],"which":[100],"combines":[101],"convolutional":[103],"network":[105],"algorithm,":[108],"uses":[110],"self-supervised":[111],"mechanism":[112],"optimize":[114],"model.":[116],"Through":[117],"verification":[119],"experiment":[120],"model":[125],"4":[127],"sets,":[130],"three":[131],"effect":[133],"evaluation":[134],"indicators":[135],"are":[136],"established,":[137],"compared":[139],"with":[140],"two":[142],"methods":[143],"K-means":[145],"AE+k-means,":[147],"it":[148],"proves":[149],"that":[150],"our":[151],"more":[154],"efficient":[155],"intelligent.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
