{"id":"https://openalex.org/W3187228890","doi":"https://doi.org/10.1109/icc42927.2021.9500687","title":"GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network","display_name":"GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3187228890","doi":"https://doi.org/10.1109/icc42927.2021.9500687","mag":"3187228890"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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/A5070692675","display_name":"Van An Le","orcid":"https://orcid.org/0000-0001-7488-2438"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Van An Le","raw_affiliation_strings":["The Graduate University for Advanced Studies, SOKENDAI,Department of Informatics,Tokyo,Japan","Department of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies, SOKENDAI,Department of Informatics,Tokyo,Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"Department of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055501153","display_name":"Le Tien Thanh","orcid":"https://orcid.org/0000-0003-4460-2225"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tien Thanh Le","raw_affiliation_strings":["Hanoi University of Science and Technology,Hanoi,Vietnam","Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058485829","display_name":"Phi Le Nguyen","orcid":"https://orcid.org/0000-0001-6547-7641"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phi Le Nguyen","raw_affiliation_strings":["Hanoi University of Science and Technology,Hanoi,Vietnam","Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072105691","display_name":"Hu\u1ef3nh Th\u1ecb Thanh B\u00ecnh","orcid":"https://orcid.org/0000-0003-1976-6113"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huynh Thi Thanh Binh","raw_affiliation_strings":["Hanoi University of Science and Technology,Hanoi,Vietnam","Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009505719","display_name":"Rajendra Akerkar","orcid":"https://orcid.org/0000-0002-4048-7226"},"institutions":[{"id":"https://openalex.org/I33875959","display_name":"Vestlandsforsking","ror":"https://ror.org/04z1q2j11","country_code":"NO","type":"facility","lineage":["https://openalex.org/I33875959"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Rajendra Akerkar","raw_affiliation_strings":["Western Norway Research Institute,Sogndal,Norway","Western Norway Research Institute, Sogndal, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Norway Research Institute,Sogndal,Norway","institution_ids":["https://openalex.org/I33875959"]},{"raw_affiliation_string":"Western Norway Research Institute, Sogndal, Norway","institution_ids":["https://openalex.org/I33875959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037098061","display_name":"Yusheng Ji","orcid":"https://orcid.org/0000-0003-4364-8491"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusheng Ji","raw_affiliation_strings":["The Graduate University for Advanced Studies, SOKENDAI,Department of Informatics,Tokyo,Japan","National Institute of Informatics, Tokyo, Japan","Department of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Graduate University for Advanced Studies, SOKENDAI,Department of Informatics,Tokyo,Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Department of Informatics, The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan","institution_ids":["https://openalex.org/I200475212"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515515089035034},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6924827694892883},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.625419557094574},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5837461352348328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5581804513931274},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5500380992889404},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4695338010787964},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.45374685525894165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44021332263946533},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.43932825326919556},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4384686350822449},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4270970821380615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38073086738586426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3329177796840668},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.14314839243888855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12480613589286804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515515089035034},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6924827694892883},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.625419557094574},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5837461352348328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5581804513931274},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5500380992889404},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4695338010787964},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.45374685525894165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44021332263946533},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.43932825326919556},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4384686350822449},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4270970821380615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38073086738586426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3329177796840668},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.14314839243888855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12480613589286804}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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":22,"referenced_works":["https://openalex.org/W1545430305","https://openalex.org/W2036455044","https://openalex.org/W2465015709","https://openalex.org/W2613070411","https://openalex.org/W2803805253","https://openalex.org/W2907492528","https://openalex.org/W2925819646","https://openalex.org/W2941512860","https://openalex.org/W2963984147","https://openalex.org/W2964010366","https://openalex.org/W2964244673","https://openalex.org/W2964425131","https://openalex.org/W2965341826","https://openalex.org/W2980225702","https://openalex.org/W3005990752","https://openalex.org/W3047551250","https://openalex.org/W3103400026","https://openalex.org/W4210257598","https://openalex.org/W6719270105","https://openalex.org/W6737231788","https://openalex.org/W6752046673","https://openalex.org/W6762427346"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W4285195761","https://openalex.org/W3170920059","https://openalex.org/W4312581881","https://openalex.org/W3082117105"],"abstract_inverted_index":{"Missing":[0],"values":[1,64,104],"appear":[2],"in":[3,9,61,127,178],"most":[4],"multivariate":[5],"time":[6],"series,":[7],"especially":[8],"the":[10,24,44,102,124,161,167,179],"monitored":[11],"network":[12,106,116],"traffic":[13,38,66,107,180],"data":[14,28,67],"due":[15,68],"to":[16,69,121,135,166,173],"high":[17],"measurement":[18],"cost":[19],"and":[20,32,40,54,95,117,144,159],"unavoidable":[21],"loss.":[22],"In":[23,73],"networking":[25],"fields,":[26],"missing":[27,63,103,146],"prevents":[29],"advanced":[30],"analysis":[31],"downgrades":[33],"downstream":[34],"applications":[35],"such":[36],"as":[37],"engineering":[39,181],"anomaly":[41],"detection.":[42],"Despite":[43],"great":[45],"potential,":[46],"existing":[47],"imputation":[48,157],"approaches":[49],"based":[50],"on":[51],"tensor":[52],"decomposition":[53],"deep":[55],"learning":[56],"techniques":[57],"have":[58],"shown":[59],"limitations":[60],"addressing":[62],"of":[65,105],"its":[70],"dynamic":[71],"behavior.":[72],"this":[74],"paper,":[75],"we":[76],"propose":[77],"Graph":[78,96,118],"Convolutional":[79,97],"Recurrent":[80,91],"Neural":[81,92,98,119],"Network":[82,85,93,120],"for":[83,100],"Imputing":[84],"Traffic":[86],"(GCRINT),":[87],"a":[88,111,175],"combination":[89],"between":[90],"(RNN)":[94],"Network,":[99],"filling":[101],"data.":[108,130],"We":[109,131],"use":[110],"bidirectional":[112],"Long":[113],"Short-Term":[114],"Memory":[115],"efficiently":[122],"learn":[123],"spatial-temporal":[125],"correlations":[126],"partially":[128],"observed":[129],"conducted":[132],"extensive":[133],"experiments":[134],"evaluate":[136],"our":[137],"model":[138],"by":[139,163],"using":[140],"two":[141],"different":[142],"datasets":[143],"various":[145],"scenarios.":[147],"The":[148],"experiment":[149],"results":[150],"show":[151],"that":[152],"GCRINT":[153,170],"achieves":[154],"significantly":[155],"low":[156],"errors":[158],"reduces":[160],"error":[162],"35%":[164],"compared":[165],"state-of-the-art":[168],"methods.":[169],"also":[171],"helps":[172],"obtain":[174],"stable":[176],"performance":[177],"problem.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
