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: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8412 https://ink.library.smu.edu.sg/context/sis_research/article/9415/viewcontent/HRGCN_av.pdf |
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Institution: | Singapore Management University |
Language: | English |