{"id":"https://openalex.org/W3199255349","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534096","title":"Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks","display_name":"Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199255349","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534096","mag":"3199255349"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5084907331","display_name":"Zhenjie Yao","orcid":"https://orcid.org/0000-0003-1027-637X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjie Yao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences,Beijing,China","Purple Mountain Laboratories, Nanjing, China","Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685884","display_name":"Qian Xu","orcid":"https://orcid.org/0000-0001-9350-8273"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xu","raw_affiliation_strings":["Purple Mountain Laboratories,Nanjing,China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories,Nanjing,China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071578712","display_name":"Yongrui Chen","orcid":"https://orcid.org/0000-0002-4618-8403"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yongrui Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Electronic, Electrical, and Communication Engineering,Beijing,China","Washington University in St.Louis,Department of Computer Science and Engineering,St.Louis,USA","School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Electronic, Electrical, and Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Washington University in St.Louis,Department of Computer Science and Engineering,St.Louis,USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103829995","display_name":"Yanhui Tu","orcid":"https://orcid.org/0000-0002-2923-958X"},"institutions":[{"id":"https://openalex.org/I4210101451","display_name":"Nanjing Institute of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Tu","raw_affiliation_strings":["Nanjing Future Network Industry Innovation Co., LTD,Nanjing,China","Nanjing Future Network Industry Innovation Co., LTD, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Future Network Industry Innovation Co., LTD,Nanjing,China","institution_ids":["https://openalex.org/I4210101451"]},{"raw_affiliation_string":"Nanjing Future Network Industry Innovation Co., LTD, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420112","display_name":"He Zhang","orcid":"https://orcid.org/0000-0002-1184-014X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences,Beijing,China","Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393445","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-3704-4432"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Electronic, Electrical, and Communication Engineering,Beijing,China","Washington University in St.Louis,Department of Computer Science and Engineering,St.Louis,USA"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Electronic, Electrical, and Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Washington University in St.Louis,Department of Computer Science and Engineering,St.Louis,USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5084907331"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392","https://openalex.org/I4210155350"],"apc_list":null,"apc_paid":null,"fwci":0.4745,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62610098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9979000091552734,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704831600189209},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.547607958316803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5143943428993225},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.51214599609375},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.49288511276245117},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4673153758049011},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.4585208296775818},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4461907148361206},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4340376853942871},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.41847896575927734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3505779206752777},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3314007520675659},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2841981053352356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2692032754421234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13517847657203674},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.100492924451828}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704831600189209},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.547607958316803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5143943428993225},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.51214599609375},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.49288511276245117},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4673153758049011},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.4585208296775818},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4461907148361206},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4340376853942871},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.41847896575927734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3505779206752777},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3314007520675659},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2841981053352356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2692032754421234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13517847657203674},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.100492924451828},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5061047014","display_name":null,"funder_award_id":"2017YFB0203501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W18228458","https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1792912906","https://openalex.org/W1924770834","https://openalex.org/W1996102080","https://openalex.org/W2017528563","https://openalex.org/W2148506461","https://openalex.org/W2158787690","https://openalex.org/W2166681504","https://openalex.org/W2313953460","https://openalex.org/W2519887557","https://openalex.org/W2613331518","https://openalex.org/W2624431344","https://openalex.org/W2756203131","https://openalex.org/W2769644800","https://openalex.org/W2781595402","https://openalex.org/W2782912001","https://openalex.org/W2792839479","https://openalex.org/W2901504064","https://openalex.org/W2901861027","https://openalex.org/W2903871660","https://openalex.org/W2946434820","https://openalex.org/W2947165201","https://openalex.org/W2952179887","https://openalex.org/W2963076818","https://openalex.org/W2963241951","https://openalex.org/W2963358464","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W3015379812","https://openalex.org/W3098699535","https://openalex.org/W3100848837","https://openalex.org/W3103720336","https://openalex.org/W4236518304","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6640212811","https://openalex.org/W6745537798","https://openalex.org/W6746015598","https://openalex.org/W6749077313","https://openalex.org/W6763085018"],"related_works":["https://openalex.org/W3135881084","https://openalex.org/W2380590035","https://openalex.org/W2351712633","https://openalex.org/W4388984322","https://openalex.org/W4285509495","https://openalex.org/W4297399633","https://openalex.org/W4378906240","https://openalex.org/W4375868888","https://openalex.org/W4328027240","https://openalex.org/W4388188285"],"abstract_inverted_index":{"Accurate":[0],"and":[1,82,132,134,139,149],"timely":[2],"prediction":[3,16,46,159],"of":[4,22,50,56,77,85,110,125,130],"the":[5,19,39,57,68,80,86,107,111],"Internet":[6,31],"traffic":[7,32,44,87],"flow":[8,45],"is":[9,90,117,121],"important":[10],"for":[11,43],"network":[12,58,162],"performance":[13,160],"improvement.":[14],"Few":[15],"methods":[17],"incorporate":[18],"topology":[20,55],"information":[21,84,151],"networks.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"present":[28],"a":[29,51,62,94,98,122,153],"novel":[30,63],"forecasting":[33],"algorithm":[34],"named":[35],"TTGCN,":[36,144],"which":[37,66,120],"applies":[38],"graph":[40],"neural":[41,154],"networks":[42],"on":[47,92,161],"each":[48],"link":[49],"backbone":[52,100],"network.":[53,101],"The":[54,72,102,142],"was":[59],"represented":[60],"by":[61,145],"adjacency":[64],"matrix,":[65],"models":[67],"relationship":[69],"between":[70],"links.":[71],"design":[73],"makes":[74],"TTGCN":[75,89,113],"capable":[76],"capturing":[78],"both":[79,147],"temporal":[81,148],"topological":[83,150],"flow.":[88],"validated":[91],"UKERNA,":[93],"dataset":[95],"captured":[96],"from":[97],"real":[99],"experimental":[103],"results":[104],"show":[105],"that":[106,129],"average":[108],"error":[109],"proposed":[112,143],"over":[114],"90":[115],"minutes":[116],"28.249":[118],"(Mbit/s),":[119],"significant":[123],"improvement":[124],"conventional":[126],"models,":[127],"while":[128],"ARIMA":[131],"GRU":[133],"STGCN":[135],"are":[136],"44.955,":[137],"40.935,":[138],"36.152,":[140],"respectively.":[141],"encoding":[146],"in":[152],"representation,":[155],"can":[156],"achieve":[157],"better":[158],"traffic.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
