{"id":"https://openalex.org/W4393036542","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10464699","title":"Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation","display_name":"Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4393036542","doi":"https://doi.org/10.1109/gcwkshps58843.2023.10464699"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps58843.2023.10464699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps58843.2023.10464699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100397196","display_name":"Kexin Wang","orcid":"https://orcid.org/0000-0003-1175-7829"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Wang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427161","display_name":"Hao Ye","orcid":"https://orcid.org/0000-0003-1544-1768"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Ye","raw_affiliation_strings":["University of California Santa Cruz,Santa Cruz,CA,95064"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Cruz,Santa Cruz,CA,95064","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066151952","display_name":"Le Liang","orcid":"https://orcid.org/0000-0002-8489-1933"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Liang","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013079905","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0003-0271-6021"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69363038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9952999949455261,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11932","display_name":"Wireless Body Area Networks","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.7381221055984497},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.47251614928245544},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4718221127986908},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.47055697441101074},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43737757205963135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4148106575012207},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3793157637119293},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3667040467262268},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.322714626789093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2609837055206299},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16708588600158691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7381221055984497},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.47251614928245544},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4718221127986908},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.47055697441101074},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43737757205963135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4148106575012207},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3793157637119293},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3667040467262268},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.322714626789093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2609837055206299},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16708588600158691}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps58843.2023.10464699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps58843.2023.10464699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4325145831","display_name":null,"funder_award_id":"62201145,62231019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6803695475","display_name":null,"funder_award_id":"BK20220810","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8363595691","display_name":null,"funder_award_id":"RF1028623094","funder_id":"https://openalex.org/F4320324856","funder_display_name":"Southeast University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2062729348","https://openalex.org/W2103723095","https://openalex.org/W2161272050","https://openalex.org/W2616867685","https://openalex.org/W2797462110","https://openalex.org/W2885828982","https://openalex.org/W2921224230","https://openalex.org/W2992716901","https://openalex.org/W3111499798","https://openalex.org/W3153880451","https://openalex.org/W4284879956","https://openalex.org/W4324116596","https://openalex.org/W6754929296"],"related_works":["https://openalex.org/W4290804213","https://openalex.org/W2157033368","https://openalex.org/W3049521731","https://openalex.org/W2912449881","https://openalex.org/W2393308226","https://openalex.org/W2022931285","https://openalex.org/W2978610750","https://openalex.org/W2766685143","https://openalex.org/W2371461469","https://openalex.org/W2908230797"],"abstract_inverted_index":{"In":[0,57,171],"this":[1,147],"paper,":[2],"we":[3,59,92,96],"investigate":[4],"the":[5,14,29,88,98,118,179],"use":[6],"of":[7,13,33,42,75,87,114,128,149,165,178,193],"graph":[8,17,104],"isomorphism":[9],"networks":[10],"(GINs),":[11],"one":[12],"most":[15],"expressive":[16],"neural":[18],"networks,":[19],"to":[20,28,109,117,123,155,191],"solve":[21],"large-scale":[22,72,111],"radio":[23],"resource":[24,63],"management":[25],"problems.":[26],"Due":[27],"fast":[30],"fading":[31,73,82,112,134,185],"characteristics":[32],"wireless":[34,49,99],"channels,":[35],"reporting":[36,183],"full":[37,197],"channel":[38],"state":[39],"information":[40],"(CSI)":[41],"all":[43,76,115],"users":[44],"frequently":[45],"in":[46,53,159],"a":[47,61,125,194],"dense":[48,160],"network":[50,100],"can":[51,174],"result":[52],"huge":[54],"transmission":[55,180],"overhead.":[56],"response,":[58],"develop":[60],"two-timescale":[62],"allocation":[64],"method":[65],"based":[66,145],"on":[67,146],"GINs":[68],"that":[69,192],"leverages":[70],"slowly-varying":[71],"CSI":[74,83,113,135,150,186],"links":[77,116],"along":[78],"with":[79,151,196],"fast-changing":[80],"small-scale":[81,133,184],"for":[84],"only":[85],"part":[86],"interference":[89,103],"links,":[90,131],"which":[91],"term":[93],"SGIN.":[94],"Specifically,":[95],"model":[97],"as":[101],"an":[102],"and":[105],"require":[106],"each":[107],"user":[108],"report":[110],"base":[119],"station":[120],"while":[121,187],"using$l_{0}-\\mathbf{norm}$regularization":[122],"identify":[124],"small":[126],"amount":[127],"important":[129],"interfering":[130],"whose":[132],"will":[136],"then":[137],"also":[138],"be":[139],"reported.":[140],"Unsupervised":[141],"training":[142],"is":[143],"performed":[144],"collection":[148],"two":[152],"time":[153],"scales":[154],"optimize":[156],"power":[157],"control":[158],"networks.":[161],"The":[162],"superior":[163],"performance":[164,189],"SGIN":[166,173],"has":[167],"been":[168],"demonstrated":[169],"experimentally.":[170],"particular,":[172],"reduce":[175],"about":[176],"67%":[177],"overhead":[181],"when":[182],"maintaining":[188],"comparable":[190],"GIN":[195],"CSI.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}