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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Bibliographic Details
Main Author: Yeo, Ming Hong
Other Authors: Tay Wee Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177021
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Institution: Nanyang Technological University
Language: English

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