Graph Neural Networks based Log Anomaly Detection and Explanation
Author:
Affiliation:
1. Leiden University, Leiden, Netherlands
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
European Union H2020-MSCA-ITN-2020
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3639478.3643084
Reference12 articles.
1. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
2. Drain: An Online Log Parsing Approach with Fixed Depth Tree
3. An Approach for Anomaly Diagnosis Based on Hybrid Graph Model with Logs for Distributed Services
4. Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, and Cong Liu. 2023. GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. arXiv preprint arXiv:2309.05953 (2023).
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