{"id":"https://openalex.org/W4403183268","doi":"https://doi.org/10.1109/spawc60668.2024.10694291","title":"Semantic Communication Enhanced by Knowledge Graph Representation Learning","display_name":"Semantic Communication Enhanced by Knowledge Graph Representation Learning","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4403183268","doi":"https://doi.org/10.1109/spawc60668.2024.10694291"},"language":"en","primary_location":{"id":"doi:10.1109/spawc60668.2024.10694291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc60668.2024.10694291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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/A5106163642","display_name":"Nour Hello","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nour Hello","raw_affiliation_strings":["CEA-Leti, Universit&#x00E9; Grenoble Alpes,Grenoble,France,F-38000"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Universit&#x00E9; Grenoble Alpes,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000852147","display_name":"Paolo Di Lorenzo","orcid":"https://orcid.org/0000-0002-4130-3177"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Di Lorenzo","raw_affiliation_strings":["Sapienza University of Rome,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Rome,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050392672","display_name":"Emilio Calvanese Strinati","orcid":"https://orcid.org/0000-0001-9346-8478"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emilio Calvanese Strinati","raw_affiliation_strings":["CEA-Leti, Universit&#x00E9; Grenoble Alpes,Grenoble,France,F-38000"],"affiliations":[{"raw_affiliation_string":"CEA-Leti, Universit&#x00E9; Grenoble Alpes,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106163642"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210150049"],"apc_list":null,"apc_paid":null,"fwci":4.1891,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94823732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"876","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9455000162124634,"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":0.9455000162124634,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9139999747276306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7740442156791687},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5457583665847778},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4827520251274109},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47002148628234863},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4510565996170044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44274190068244934},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.4324778914451599},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.325697124004364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740442156791687},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5457583665847778},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4827520251274109},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47002148628234863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4510565996170044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44274190068244934},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.4324778914451599},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.325697124004364},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spawc60668.2024.10694291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc60668.2024.10694291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","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":25,"referenced_works":["https://openalex.org/W1520107265","https://openalex.org/W2786660442","https://openalex.org/W2970641574","https://openalex.org/W3134818623","https://openalex.org/W3180974649","https://openalex.org/W3202895480","https://openalex.org/W3206039297","https://openalex.org/W4226283960","https://openalex.org/W4283269916","https://openalex.org/W4313455370","https://openalex.org/W4324118611","https://openalex.org/W4365420412","https://openalex.org/W4380052709","https://openalex.org/W4381327765","https://openalex.org/W4385245566","https://openalex.org/W4387010818","https://openalex.org/W4389887432","https://openalex.org/W4392152957","https://openalex.org/W4400811084","https://openalex.org/W4404577384","https://openalex.org/W6747837047","https://openalex.org/W6772452955","https://openalex.org/W6851556240","https://openalex.org/W6852105821","https://openalex.org/W6859148087"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W3080107865"],"abstract_inverted_index":{"This":[0,51],"paper":[1],"investigates":[2],"the":[3,15,56,79,86,93,111,118,129,158,163,168,173],"advantages":[4],"of":[5,18,41,58,95,113,120,131,175],"representing":[6],"and":[7,26,46,60,161,182],"processing":[8],"semantic":[9,19,25,66,88,106,121,150],"knowledge":[10,42,165,177],"extracted":[11],"into":[12],"graphs":[13,178],"within":[14,144],"emerging":[16],"paradigm":[17],"communications.":[20],"The":[21,81],"proposed":[22,87],"approach":[23],"leverages":[24],"pragmatic":[27],"aspects,":[28],"incorporating":[29,139],"recent":[30],"advances":[31],"on":[32],"large":[33],"language":[34],"models":[35],"(LLMs)":[36],"to":[37,43,70,75,154,179],"achieve":[38],"compact":[39],"representations":[40],"be":[44,71,76],"processed":[45],"exchanged":[47],"between":[48,102],"intelligent":[49],"agents.":[50],"is":[52,73,108],"accomplished":[53],"by":[54,85,138],"using":[55],"cascade":[57],"LLMs":[59],"graph":[61,145,166],"neural":[62],"networks":[63],"(GNNs)":[64],"as":[65],"encoders,":[67],"where":[68],"information":[69,91,107],"shared":[72],"selected":[74],"meaningful":[77],"at":[78,167],"receiver.":[80,169],"embedding":[82],"vectors":[83],"produced":[84],"encoder":[89],"represent":[90],"in":[92,117,136],"form":[94],"triplets:":[96],"nodes":[97],"(semantic":[98],"concepts":[99],"entities),":[100],"edges(relations":[101],"concepts),":[103],"nodes.":[104],"Thus,":[105],"associated":[109],"with":[110],"representation":[112],"relationships":[114],"among":[115],"elements":[116,143],"space":[119],"concept":[122],"abstractions.":[123],"In":[124],"this":[125],"paper,":[126],"we":[127],"investigate":[128],"potential":[130],"achieving":[132],"high":[133],"compression":[134],"rates":[135],"communication":[137],"relations":[140],"that":[141],"link":[142],"embeddings.":[146],"We":[147],"propose":[148],"sending":[149],"symbols":[151],"solely":[152],"equivalent":[153],"node":[155],"embeddings":[156],"through":[157],"wireless":[159],"channel":[160],"inferring":[162],"complete":[164],"Numerical":[170],"simulations":[171],"illustrate":[172],"effectiveness":[174],"leveraging":[176],"semantically":[180],"compress":[181],"transmit":[183],"information.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
