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Graph Neural Networks based Log Anomaly Detection and Explanation

Graph Neural Networks based Log Anomaly Detection and Explanation

2 July 2023
Zhong Li
Jiayang Shi
M. Leeuwen
ArXivPDFHTML

Papers citing "Graph Neural Networks based Log Anomaly Detection and Explanation"

5 / 5 papers shown
Title
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
Jiaxing Qi
Chang Zeng
Zhongzhi Luan
Shaohan Huang
S. Yang
Yao Lu
Hailong Yang
D. Qian
34
0
0
21 Jan 2025
Explainable Graph Neural Networks Under Fire
Explainable Graph Neural Networks Under Fire
Zhong Li
Simon Geisler
Yuhang Wang
Stephan Günnemann
M. Leeuwen
AAML
34
0
0
10 Jun 2024
Explainable Contextual Anomaly Detection using Quantile Regression
  Forests
Explainable Contextual Anomaly Detection using Quantile Regression Forests
Zhong Li
M. Leeuwen
AI4TS
29
15
0
22 Feb 2023
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
467
0
02 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
589
0
31 Dec 2020
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