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EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks

Research article (Computer Networks, 2023) · cited 58× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
February 10, 2023as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Published in
Computer Networksas of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Title
EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networksas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4319966459as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1016/J.COMNET.2023.109614as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 6
Gaogang Xie, Guangxing Zhang, Mingyu Qiao, Rui Ren, Xuying Meng, Zulong Diao
← Author of 6
Gaogang Xie, Guangxing Zhang, Mingyu Qiao, Rui Ren, Xuying Meng, Zulong Diao
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Summary

EC-GCN: An encrypted traffic classification framework based on multi-scale graph convolution networks is a scholarly article[1].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks. Retrieved October 20, 2026, from https://4ort.xyz/entity/ec-gcn-a-encrypted-traffic-classification-framework-based-on-multi-scale-graph-convolution-networks
MLA “EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/ec-gcn-a-encrypted-traffic-classification-framework-based-on-multi-scale-graph-convolution-networks.
BibTeX @misc{4ortxyz_ec-gcn-a-encrypted-traffic-classification-framework-based-on-multi-scale-graph-convolution-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks}}, year = {2026}, url = {https://4ort.xyz/entity/ec-gcn-a-encrypted-traffic-classification-framework-based-on-multi-scale-graph-convolution-networks}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EC-GCN: A encrypted traffic classification framework based on multi-scale graph convolution networks — https://4ort.xyz/entity/ec-gcn-a-encrypted-traffic-classification-framework-based-on-multi-scale-graph-convolution-networks (retrieved 2026-10-20)

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