Graph-level anomaly detection via hierarchical memory networks

Graph-level anomaly detection aims to identify abnormal graphs that exhibit deviant structures and node attributes compared to the majority in a graph set. One primary challenge is to learn normal patterns manifested in both fine-grained and holistic views of graphs for identifying graphs that are a...

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Bibliographic Details
Main Authors: NIU, Chaoxi, PANG, Guansong, CHEN, Ling
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8410
https://ink.library.smu.edu.sg/context/sis_research/article/9413/viewcontent/978_3_031_39847_6.pdf
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Institution: Singapore Management University
Language: English

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