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Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks

Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e9ae5f012bd4062b0656504d890cbdf

Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks

About this item

Full title

Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks

Publisher

New York: Hindawi

Journal title

Discrete dynamics in nature and society, 2023-07, Vol.2023, p.1-13

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

Edge networking brings computation and data storage as close to the point of request as possible. Various intelligent devices are connected to the edge nodes where traffic packets flow. Traffic classification tasks are thought to be a keystone for network management; researchers can analyze packets captured to understand the traffic as it hits thei...

Alternative Titles

Full title

Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_1e9ae5f012bd4062b0656504d890cbdf

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e9ae5f012bd4062b0656504d890cbdf

Other Identifiers

ISSN

1026-0226

E-ISSN

1607-887X

DOI

10.1155/2023/2879563

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