{"id":"https://openalex.org/W2925819646","doi":"https://doi.org/10.1109/infcomw.2019.8845132","title":"Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks","display_name":"Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2925819646","doi":"https://doi.org/10.1109/infcomw.2019.8845132","mag":"2925819646"},"language":"en","primary_location":{"id":"doi:10.1109/infcomw.2019.8845132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11311/1079801","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046971659","display_name":"Davide Andreoletti","orcid":"https://orcid.org/0000-0003-3790-9341"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Davide Andreoletti","raw_affiliation_strings":["Networking Laboratory, University of Applied Sciences of Southern Switzerland, Manno, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Networking Laboratory, University of Applied Sciences of Southern Switzerland, Manno, Switzerland","institution_ids":["https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000140450","display_name":"Sebastian Tro\u00eca","orcid":"https://orcid.org/0000-0002-4712-3767"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastian Troia","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042021806","display_name":"Francesco Musumeci","orcid":"https://orcid.org/0000-0002-3617-5916"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Musumeci","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055844783","display_name":"Silvia Giordano","orcid":"https://orcid.org/0000-0003-2603-9029"},"institutions":[{"id":"https://openalex.org/I15196421","display_name":"University of Applied Sciences and Arts of Southern Switzerland","ror":"https://ror.org/05ep8g269","country_code":"CH","type":"education","lineage":["https://openalex.org/I15196421"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Silvia Giordano","raw_affiliation_strings":["Networking Laboratory, University of Applied Sciences of Southern Switzerland, Manno, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Networking Laboratory, University of Applied Sciences of Southern Switzerland, Manno, Switzerland","institution_ids":["https://openalex.org/I15196421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103860204","display_name":"Guido Maier","orcid":"https://orcid.org/0000-0001-6103-435X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Maier","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038468421","display_name":"Massimo Tornatore","orcid":"https://orcid.org/0000-0003-0740-1061"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Tornatore","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5918,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.98456075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"251"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9887999892234802,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9857000112533569,"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":0.7734087705612183},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5635818243026733},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5027713775634766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47893887758255005},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4472801685333252},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43359804153442383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4327845573425293},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4189504086971283},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33346933126449585},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15848445892333984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734087705612183},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5635818243026733},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5027713775634766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47893887758255005},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4472801685333252},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43359804153442383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4327845573425293},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4189504086971283},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33346933126449585},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15848445892333984}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infcomw.2019.8845132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcomw.2019.8845132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1079801","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1079801","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:re.public.polimi.it:11311/1079801","is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1079801","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2064675550","https://openalex.org/W2130942839","https://openalex.org/W2170851227","https://openalex.org/W2204457080","https://openalex.org/W2519887557","https://openalex.org/W2558748708","https://openalex.org/W2742537553","https://openalex.org/W2775717462","https://openalex.org/W2781156794","https://openalex.org/W2782912001","https://openalex.org/W2899178888","https://openalex.org/W2963358464","https://openalex.org/W2963432161","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964321699","https://openalex.org/W6679436768","https://openalex.org/W6720006811","https://openalex.org/W6745220581"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2785612136","https://openalex.org/W4239306820","https://openalex.org/W2099529706"],"abstract_inverted_index":{"By":[0],"predicting":[1],"the":[2,51,62,81,103,126,146,155,158,161,173,185,198,229,251,262],"traffic":[3,182,202],"load":[4,183],"on":[5,26,135,184],"network":[6,9,159,268],"links,":[7],"a":[8,30,140,168,188],"operator":[10],"can":[11,46],"effectively":[12,94],"pre-dispose":[13],"resource-allocation":[14],"strategies":[15],"to":[16,34,37,49,77,85,93,97,117,138,180,196,204,214,245,266],"early":[17],"address,":[18],"e.g.,":[19],"an":[20],"incoming":[21],"congestion":[22,55,254],"event.":[23],"Traffic":[24],"loads":[25],"different":[27],"links":[28,186],"of":[29,53,120,131,142,145,157,187,200,207,235,250,253,264],"telecom":[31,109],"is":[32,241],"know":[33],"be":[35,47,91],"subject":[36],"strong":[38],"correlation,":[39,42],"and":[40,87,154,203,209,220,247,256],"this":[41,164,212],"if":[43],"properly":[44],"represented,":[45],"exploited":[48],"refine":[50],"prediction":[52,252],"future":[54],"events.":[56],"Machine":[57],"Learning":[58],"(ML)":[59],"represents":[60],"nowadays":[61],"state-of-the-art":[63],"methodology":[64],"for":[65,261],"discovering":[66],"complex":[67],"relations":[68],"among":[69],"data.":[70],"However,":[71],"ML":[72,113,171],"has":[73],"been":[74],"traditionally":[75],"applied":[76],"data":[78,100,122],"represented":[79],"in":[80,108,125,233,248],"Euclidean":[82],"space":[83],"(e.g.,":[84,101,152,160,239],"images)":[86],"it":[88,96],"may":[89],"not":[90],"straightforward":[92],"employ":[95,167],"model":[98],"graph-stuctured":[99],"as":[102],"events":[104,206],"that":[105,226],"take":[106],"place":[107],"networks).":[110],"Recently,":[111],"several":[112],"algorithms":[114],"specifically":[115],"designed":[116],"learn":[118,139],"models":[119],"graph-structured":[121],"have":[123],"appeared":[124],"literature.":[127],"The":[128],"main":[129],"novelty":[130],"these":[132],"techniques":[133],"relies":[134],"their":[136],"ability":[137,195,238],"representation":[141],"each":[143],"node":[144],"graph":[147],"considering":[148],"both":[149,232],"its":[150,236],"properties":[151],"features)":[153],"structure":[156],"topology).":[162],"In":[163],"paper,":[165],"we":[166,210],"recently-proposed":[169],"graph-based":[170],"algorithm,":[172],"Diffusion":[174],"Convolutional":[175],"Recurrent":[176],"Neural":[177,222],"Network":[178],"(DCRNN),":[179],"forecast":[181,197],"real":[189],"backbone":[190],"network.":[191],"We":[192],"evaluate":[193],"DRCNN's":[194],"volume":[199],"expected":[201],"predict":[205],"congestion,":[208],"compare":[211],"approach":[213],"other":[215,230,267],"existing":[216],"approaches":[217],"(as":[218],"LSTM,":[219],"Fully-Connected":[221],"Networks).":[223],"Results":[224],"show":[225],"DCRN":[227],"outperforms":[228],"methods":[231],"terms":[234,249],"forecasting":[237],"MAPE":[240],"reduced":[242],"from":[243],"210%":[244],"43%)":[246],"events,":[255],"represent":[257],"promising":[258],"starting":[259],"point":[260],"application":[263],"DRCNN":[265],"management":[269],"problems.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}