Graph neural network for anomaly detection
Graph Neural Networks (GNNs) have gained prominence in the realm of anomaly detection on graph-structured data, a critical task in various fields such as cybersecurity, fraud detection, and network monitoring. Unlike traditional anomaly detection methods that often overlook the relational informatio...
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Main Author: | Yeo, Ming Hong |
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Other Authors: | Tay Wee Peng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/177021 |
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Institution: | Nanyang Technological University |
Language: | English |
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