Cross-domain graph anomaly detection via anomaly-aware contrastive alignment
Cross-domain graph anomaly detection (CD-GAD) describes the problem of detecting anomalous nodes in an unlabelled target graph using auxiliary, related source graphs with labelled anomalous and normal nodes. Although it presents a promising approach to address the notoriously high false positive iss...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8004 https://ink.library.smu.edu.sg/context/sis_research/article/9007/viewcontent/25591_Article_Text_29654_1_2_20230626.pdf |
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| Institution: | Singapore Management University |
| Language: | English |