{"id":"https://openalex.org/W3191952718","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498777","title":"Attributed Network Embedding via Edge Information Enhancing for Wireless Communication Network","display_name":"Attributed Network Embedding via Edge Information Enhancing for Wireless Communication Network","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3191952718","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498777","mag":"3191952718"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","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/A5114860334","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0001-6582-7808"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003852858","display_name":"Donghai Guan","orcid":"https://orcid.org/0000-0002-8448-9020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghai Guan","raw_affiliation_strings":["Nanjing Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101899176","display_name":"Weiwei Yuan","orcid":"https://orcid.org/0000-0002-0452-4536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Yuan","raw_affiliation_strings":["Nanjing Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"2169","last_page":"2175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.760858416557312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484950423240662},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7045987844467163},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5414431691169739},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5367734432220459},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4979424476623535},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4231874942779541},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3919140100479126},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38075873255729675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3654564619064331},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07315710186958313}],"concepts":[{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.760858416557312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484950423240662},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7045987844467163},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5414431691169739},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5367734432220459},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4979424476623535},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4231874942779541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3919140100479126},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38075873255729675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3654564619064331},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07315710186958313},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/iwcmc51323.2021.9498777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3520620420","display_name":null,"funder_award_id":"U2033202","funder_id":"https://openalex.org/F4320324522","funder_display_name":"Civil Aviation Administration of China"},{"id":"https://openalex.org/G8081687432","display_name":null,"funder_award_id":"U2033202","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"},{"id":"https://openalex.org/F4320324522","display_name":"Civil Aviation Administration of China","ror":"https://ror.org/05gfwht30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1888005072","https://openalex.org/W2130942839","https://openalex.org/W2154851992","https://openalex.org/W2242161203","https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2571254578","https://openalex.org/W2585247128","https://openalex.org/W2612872092","https://openalex.org/W2622489478","https://openalex.org/W2740934577","https://openalex.org/W2783673162","https://openalex.org/W2808000122","https://openalex.org/W2896808365","https://openalex.org/W2916059024","https://openalex.org/W2920331395","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2963512530","https://openalex.org/W2964121744","https://openalex.org/W2964265128","https://openalex.org/W2965055566","https://openalex.org/W2970298096","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2419146053","https://openalex.org/W2088247287","https://openalex.org/W3006008237","https://openalex.org/W2966686650"],"abstract_inverted_index":{"The":[0,197,215],"continuous":[1],"development":[2],"of":[3,17,56,76,181,199],"wireless":[4],"communication":[5],"networks":[6],"makes":[7],"the":[8,15,35,49,53,60,139,149,153,157,165,178,219,224],"interaction":[9],"between":[10],"users":[11,19],"become":[12,21],"frequent,":[13],"and":[14,31,52,104,116,164],"analysis":[16],"network":[18,26,36,45,81,102],"has":[20,205],"a":[22,162,169],"hot":[23],"topic.":[24],"Attributed":[25,87],"embedding":[27,46],"combines":[28],"user":[29,32],"relationship":[30],"attributes":[33,58,78,106],"in":[34,128,138,156,202,227],"to":[37,72,79,107,132,143,186,193,223],"learn":[38,133],"high-quality":[39,64],"node":[40,57,65,77,105,113,146,150,166],"representations.":[41,147],"However,":[42],"Existing":[43],"attributed":[44],"method":[47,96],"ignore":[48],"edge":[50,82,117,175,187,195],"information":[51,54,137,155,192],"enhancement":[55],"on":[59,101,210],"edge,":[61],"so":[62,141],"ultimately":[63],"representation":[66,167],"cannot":[67],"be":[68],"obtained.":[69],"In":[70,112,148,174],"order":[71],"make":[73],"full":[74],"use":[75],"enhance":[80,194],"information,":[83],"we":[84,124],"propose":[85],"an":[86],"Network":[88],"Embedding":[89],"via":[90],"Edge":[91],"Information":[92],"Enhancing(ANEE)":[93],"method.":[94],"Our":[95],"uses":[97],"random":[98],"walk":[99],"based":[100],"structure":[103],"obtain":[108,144],"sequences.":[109],"After":[110],"that,":[111],"sequence":[114,118,122,151,158,176,188],"learning":[115,119],"these":[120],"two":[121],"learning,":[123,152,177],"adopt":[125],"Self-Attention":[126],"mechanism":[127],"multiple":[129,134],"latent":[130,135],"spaces":[131],"correlation":[136],"sequence,":[140],"as":[142,161,190],"better":[145],"position":[154,171],"is":[159,172,184,221],"added":[160,185],"constraint,":[163],"with":[168],"reasonable":[170],"learned.":[173],"attribute":[179],"relation":[180,189],"adjacent":[182],"nodes":[183],"additional":[191],"information.":[196],"performance":[198],"model":[200,220],"proposed":[201],"this":[203],"paper":[204],"been":[206],"verified":[207],"by":[208],"experiments":[209],"several":[211],"real":[212],"data":[213],"sets.":[214],"result":[216],"shows":[217],"that":[218],"superior":[222],"state-of-the-art":[225],"algorithm":[226],"link":[228],"prediction":[229],"task.":[230]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
