HRGCN: Heterogeneous graph-level anomaly detection with hierarchical relation-augmented graph neural networks

HRGCN: Heterogeneous graph-level anomaly detection with hierarchical relation-augmented graph neural networks

This work considers the problem of heterogeneous graph-level anomaly detection. Heterogeneous graphs are commonly used to represent behaviours between different types of entities in complex industrial systems for capturing as much information about the system operations as possible. Detecting anomal...

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Main Authors:	LI, Jiaxi, PANG, Guansong, CHEN, Ling, NAMAZI-RAD, Mohammad-Reza
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Training Representation learning Analytical models Image edge detection Systems operation Self-supervised learning Data models Databases and Information Systems Numerical Analysis and Scientific Computing
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8412 https://ink.library.smu.edu.sg/context/sis_research/article/9415/viewcontent/HRGCN_av.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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