LogGD:Detecting Anomalies from System Logs by Graph Neural Networks

16 September 2022

Papers citing "LogGD:Detecting Anomalies from System Logs by Graph Neural Networks"

8 / 8 papers shown

Title
Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Jiaxing Qi Chang Zeng Zhongzhi Luan Shaohan Huang Songlin Yang Yao Lu Hailong Yang D. Qian 44 0 0 21 Jan 2025
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection Yufei Li Yanchi Liu Haoyu Wang Zhengzhang Chen Wei Cheng Yuncong Chen Wenchao Yu Haifeng Chen Cong Liu 24 5 0 12 Sep 2023
Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection Lin Yang Jun-Cheng Chen Shutao Gao Zhihao Gong Hongyu Zhang Yue Kang Huaan Li 24 3 0 24 Aug 2023
On the Effectiveness of Log Representation for Log-based Anomaly Detection Xingfang Wu Heng Li Foutse Khomh AI4TS 8 15 0 17 Aug 2023
Graph Neural Networks based Log Anomaly Detection and Explanation Zhong Li Jiayang Shi M. Leeuwen 38 11 0 02 Jul 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese Guosheng Lin 42 18 0 10 Apr 2023
GRPE: Relative Positional Encoding for Graph Transformer Wonpyo Park Woonggi Chang Donggeon Lee Juntae Kim Seung-won Hwang 41 75 0 30 Jan 2022
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 312 0 15 Oct 2021