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dc.contributorCabellos Aparicio, Alberto
dc.contributorArias Vicente, Marta
dc.contributor.authorCarol Bosch, Sergi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2019-09-23T09:51:03Z
dc.date.available2019-09-23T09:51:03Z
dc.date.issued2019-06-27
dc.identifier.urihttp://hdl.handle.net/2117/168587
dc.description.abstractToday, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay).This thesis introduces the benchmark for computer network modeling using the RouteNet Graph Neural Network as well as a routing creation algorithm.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshGraph theory
dc.subject.lcshMachine learning
dc.subject.lcshNeural networks (Computer science)
dc.subject.otherGraph Neural Networks
dc.subject.otherRouteNet
dc.subject.otherKnowledge Defined Networking
dc.subject.otherIntel·ligència Artificial
dc.subject.otherAlgoritmes de creació d'enrutaments
dc.subject.otherModelatge de xarxes de computadors.
dc.subject.otherGraph Neural Networks
dc.subject.otherRouteNet
dc.subject.otherKnowledge Defined Networking
dc.subject.othermachone Learning
dc.subject.otherArtifical Inteligence
dc.subject.otherRouting Creation Algorithms
dc.subject.otherComputer Network Modeling
dc.titleA benchmark for graph neural networks for computer network modeling
dc.typeMaster thesis
dc.subject.lemacGrafs, Teoria de
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacXarxes neuronals (Informàtica)
dc.identifier.slug143477
dc.rights.accessOpen Access
dc.date.updated2019-07-12T04:01:15Z
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona
dc.audience.degreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)


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