Few-shot traffic classification based on autoencoder and deep graph convolutional networks

Shengwei Xu; Jijie Han; Yilong Liu; Haoran Liu; Yijie Bai

doi:10.1038/s41598-025-94240-6

Few-shot traffic classification based on autoencoder and deep graph convolutional networks

S Shengwei Xu J Jijie Han Y Yilong Liu (State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Department of Chemical Biology, College of Chemistry and Chemical Engineering, State Key Laboratory of Vaccines for Infectious Diseases, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, School of Life Sciences, Faculty of Medicine and Life Sciences) H Haoran Liu (Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research) Y Yijie Bai

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published March 15, 2025

DOI 10.1038/s41598-025-94240-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

S

Shengwei Xu

J

Jijie Han

Y

Yilong Liu

State Key Laboratory of Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, Department of Chemical Biology, College of Chemistry and Chemical Engineering, State Key Laboratory of Vaccines for Infectious Diseases, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, School of Life Sciences, Faculty of Medicine and Life Sciences

H

Haoran Liu

Marine Biogeochemistry Division, GEOMAR Helmholtz Centre for Ocean Research

Y

Yijie Bai

Few-shot traffic classification based on autoencoder and deep graph convolutional networks

Article Details

Journal Info

Authors (5)

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