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Applying Self-supervised Learning to Network Intrusion Detection for
  Network Flows with Graph Neural Network

Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network

3 March 2024
Renjie Xu
Guangwei Wu
Weiping Wang
Xing Gao
An He
Zhengpeng Zhang
    SSL
ArXivPDFHTML

Papers citing "Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network"

4 / 4 papers shown
Title
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Md Abrar Jahin
S.
M. Mridha
Raihan Kabir
Md. Rashedul Islam
Yutaka Watanobe
Hezerul Abdul Karim
41
0
0
02 Mar 2025
NIDS Neural Networks Using Sliding Time Window Data Processing with
  Trainable Activations and its Generalization Capability
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability
A. Raskovalov
N. Gabdullin
Ilya Androsov
AI4TS
17
0
0
24 Oct 2024
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
35
141
0
21 Sep 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
184
731
0
03 Sep 2019
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