{"id":"https://openalex.org/W4388118097","doi":"https://doi.org/10.23919/eusipco58844.2023.10289977","title":"AirGNNs: Graph Neural Networks over the Air","display_name":"AirGNNs: Graph Neural Networks over the Air","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388118097","doi":"https://doi.org/10.23919/eusipco58844.2023.10289977"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10289977","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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/A5088013951","display_name":"Zhan Gao","orcid":"https://orcid.org/0000-0001-7250-7386"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhan Gao","raw_affiliation_strings":["University of Cambridge,Department of Computer Science and Technology,Cambridge,UK","Department of Computer Science and Technology, University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,Department of Computer Science and Technology,Cambridge,UK","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz G\u00fcnd\u00fcz","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,London,UK","Department of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,London,UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088013951"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":1.049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8167991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"963","last_page":"967"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9905999898910522,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7913139462471008},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7372721433639526},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5711755156517029},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5115929245948792},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5020432472229004},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4925728440284729},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4204404056072235},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4110593795776367},{"id":"https://openalex.org/keywords/communications-system","display_name":"Communications system","score":0.4100155532360077},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3355138897895813},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29609841108322144},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12375938892364502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913139462471008},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7372721433639526},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5711755156517029},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5115929245948792},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5020432472229004},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4925728440284729},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4204404056072235},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4110593795776367},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.4100155532360077},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3355138897895813},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29609841108322144},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12375938892364502},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10289977","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1525928184","https://openalex.org/W1991252559","https://openalex.org/W2116341502","https://openalex.org/W2798598284","https://openalex.org/W2899457523","https://openalex.org/W2962711740","https://openalex.org/W2964321699","https://openalex.org/W3006919779","https://openalex.org/W3028801376","https://openalex.org/W3100848837","https://openalex.org/W3101707147","https://openalex.org/W3123684968","https://openalex.org/W3139262588","https://openalex.org/W3165283727","https://openalex.org/W3167586364","https://openalex.org/W3176675329","https://openalex.org/W3209876175","https://openalex.org/W4286373861","https://openalex.org/W4292628597","https://openalex.org/W4320018467","https://openalex.org/W4378805148","https://openalex.org/W4387870256","https://openalex.org/W4388118097","https://openalex.org/W6631190155","https://openalex.org/W6720006811","https://openalex.org/W6754929296","https://openalex.org/W6760725535","https://openalex.org/W6785161141","https://openalex.org/W6841928352","https://openalex.org/W6846798350","https://openalex.org/W6850593166"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2790025453","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W2027568561","https://openalex.org/W2912284747","https://openalex.org/W2372426168","https://openalex.org/W2375193409"],"abstract_inverted_index":{"Graph":[0],"neural":[1,50],"networks":[2,51],"(GNNs)":[3],"are":[4],"information":[5],"processing":[6],"architectures":[7,24],"that":[8,60,74,119],"model":[9,64],"representations":[10],"from":[11,93],"networked":[12],"data":[13],"and":[14,30,37,88,117,134,140],"allow":[15],"for":[16],"decentralized":[17,131],"implementation":[18],"through":[19],"localized":[20],"communications.":[21],"Existing":[22],"GNN":[23,58],"often":[25],"assume":[26],"ideal":[27],"communication":[28,63,80,149],"links":[29],"ignore":[31],"channel":[32,86,101],"effects,":[33],"such":[34],"as":[35],"fading":[36,87],"noise,":[38],"leading":[39],"to":[40,82,100,113,124],"performance":[41,143],"degradation":[42],"in":[43],"real-world":[44],"implementation.":[45],"This":[46],"paper":[47],"proposes":[48],"graph":[49,71,76],"over":[52,78,147],"the":[53,62,66,70,97,115,120,145],"air":[54],"(AirGNNs),":[55],"a":[56,107,125],"novel":[57],"architecture":[59,98],"incorporates":[61],"into":[65,84],"architecture.":[67],"AirGNN":[68,146],"modifies":[69],"convolutional":[72],"operation":[73],"shifts":[75],"signals":[77],"random":[79],"graphs":[81],"take":[83],"account":[85],"noise":[89],"when":[90],"aggregating":[91],"features":[92],"neighbors,":[94],"thus,":[95],"improving":[96],"robustness":[99],"impairments":[102],"during":[103],"testing.":[104],"We":[105],"propose":[106],"stochastic":[108],"gradient":[109],"descent":[110],"based":[111],"method":[112],"train":[114],"AirGNN,":[116],"show":[118,141],"training":[121],"procedure":[122],"converges":[123],"stationary":[126],"solution.":[127],"Numerical":[128],"simulations":[129],"on":[130],"source":[132],"localization":[133],"multi-robot":[135],"flocking":[136],"corroborate":[137],"theoretical":[138],"findings":[139],"superior":[142],"of":[144],"wireless":[148],"channels.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}