{"id":"https://openalex.org/W4386590857","doi":"https://doi.org/10.1109/tccn.2023.3313591","title":"Spectrum Recommendation in Cognitive Internet of Things: A Knowledge-Graph-Based Framework","display_name":"Spectrum Recommendation in Cognitive Internet of Things: A Knowledge-Graph-Based Framework","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590857","doi":"https://doi.org/10.1109/tccn.2023.3313591"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2023.3313591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3313591","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-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/A5067053704","display_name":"Jiachen Sun","orcid":"https://orcid.org/0000-0002-4042-1200"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiachen Sun","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457175","display_name":"Jin Chen","orcid":"https://orcid.org/0000-0002-7446-8090"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076455133","display_name":"Guoru Ding","orcid":"https://orcid.org/0000-0003-1780-2547"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoru Ding","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029999399","display_name":"Fandi Lin","orcid":"https://orcid.org/0000-0002-7857-0551"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fandi Lin","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069766139","display_name":"Yehui Song","orcid":"https://orcid.org/0009-0001-3879-9001"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehui Song","raw_affiliation_strings":["College of Communications Engineering, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067053704"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":2.4612,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91254003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"1","first_page":"21","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940999746322632,"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":0.9940999746322632,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8282247185707092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8157581090927124},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6486495733261108},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5781267285346985},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4717693626880646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4697423577308655},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4007195830345154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39396822452545166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3832206130027771}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8282247185707092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157581090927124},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6486495733261108},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5781267285346985},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4717693626880646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4697423577308655},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4007195830345154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39396822452545166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3832206130027771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2023.3313591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3313591","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G157886057","display_name":null,"funder_award_id":"61931011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4584413591","display_name":null,"funder_award_id":"62231027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5628404143","display_name":null,"funder_award_id":"62301604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7516831175","display_name":null,"funder_award_id":"62171462","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7531191085","display_name":null,"funder_award_id":"U20B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1983559465","https://openalex.org/W1994164663","https://openalex.org/W2029119963","https://openalex.org/W2060557973","https://openalex.org/W2099970131","https://openalex.org/W2158787690","https://openalex.org/W2159094788","https://openalex.org/W2165698076","https://openalex.org/W2165834463","https://openalex.org/W2171960770","https://openalex.org/W2186864355","https://openalex.org/W2287213159","https://openalex.org/W2342828045","https://openalex.org/W2607059137","https://openalex.org/W2730928124","https://openalex.org/W2746172614","https://openalex.org/W2755056899","https://openalex.org/W2759136286","https://openalex.org/W2783579192","https://openalex.org/W2874177943","https://openalex.org/W2889210442","https://openalex.org/W2889865670","https://openalex.org/W2907492528","https://openalex.org/W2918428907","https://openalex.org/W2936595168","https://openalex.org/W2946071132","https://openalex.org/W2963982900","https://openalex.org/W2966349618","https://openalex.org/W3047556258","https://openalex.org/W3089065531","https://openalex.org/W3180641418","https://openalex.org/W3184755849","https://openalex.org/W4205765448","https://openalex.org/W4297095038","https://openalex.org/W6631190155","https://openalex.org/W6686689583","https://openalex.org/W6726873649","https://openalex.org/W6772320042"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W2741131631","https://openalex.org/W2045526782","https://openalex.org/W4405841813","https://openalex.org/W2156919374","https://openalex.org/W1483472507","https://openalex.org/W1984019423"],"abstract_inverted_index":{"As":[0],"an":[1,91],"intelligent":[2],"approach":[3],"for":[4,71,94,106],"efficient":[5],"spectrum":[6,14,72,107],"utilization":[7],"in":[8,22,54],"Cognitive":[9],"Internet":[10],"of":[11,26,34,43,65,82,97,147,156,171],"Things":[12],"(CIoT),":[13],"recommendation":[15,73,108],"is":[16,62,74,88,109],"interesting":[17],"but":[18],"largely":[19],"unexplored,":[20],"especially":[21],"the":[23,32,55,80,95,113,118,134,144,148,152,157,169,172],"few-shot":[24,51,153],"scenario":[25,155],"inference":[27,52,122,154,175],"on":[28,103,117,125,161],"unknown":[29],"ratings.":[30],"For":[31],"incompetence":[33],"data-driven":[35],"approaches,":[36],"we":[37,139],"consider":[38],"playing":[39],"a":[40,63,68],"guiding":[41],"role":[42],"domain":[44,150],"knowledge":[45,81,85,141,178],"by":[46],"introducing":[47],"it":[48],"into":[49],"this":[50],"problem":[53,116],"high-frequency":[56],"(HF)":[57],"communication,":[58],"as":[59,90],"HF":[60],"communication":[61],"case":[64],"CIoT.":[66],"Firstly,":[67],"knowledge-graph-based":[69],"framework":[70],"developed":[75],"to":[76,112,132,151],"organize":[77],"and":[78,99,165],"represent":[79],"HF.":[83],"The":[84],"graph":[86,93,126],"(KG)":[87],"modeled":[89],"undirected":[92,119],"convenience":[96],"extracting":[98],"reasoning":[100],"knowledge.":[101],"Inference":[102],"channel":[104],"qualities":[105],"further":[110],"converted":[111],"node":[114,135],"regression":[115,136],"graph.":[120],"Then,":[121],"schemes":[123],"based":[124],"convolutional":[127],"network":[128],"(GCN)":[129],"are":[130],"proposed":[131,173],"solve":[133],"problem,":[137],"where":[138],"transfer":[140],"extracted":[142],"from":[143],"complete":[145],"data":[146,164,167],"source":[149],"target":[158],"domain.":[159],"Experiments":[160],"both":[162],"synthetic":[163],"real":[166],"demonstrate":[168],"effectiveness":[170],"GCN-based":[174],"algorithm":[176],"with":[177],"transfer.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}