Deep graph-level anomaly detection by glocal knowledge distillation
Graph-level anomaly detection (GAD) describes the problem of detecting graphs that are abnormal in their structure and/or the features of their nodes, as compared to other graphs. One of the challenges in GAD is to devise graph representations that enable the detection of both locally- and globally-...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2022
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7054 https://ink.library.smu.edu.sg/context/sis_research/article/8057/viewcontent/3488560.3498473.pdf |
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Institution: | Singapore Management University |
Language: | English |
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