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2023-24 Spring - MATH6911Q - Reading Course: Anomaly Detection in Graph Neural Networks

Course

Description

Instructor(s)/Supervisor(s)/Coordinator(s): Yuan YAO
We will study related topics which include: 1) Introduction to graphs 2) Introduction to Anomaly Detection 3) Graph Neural Networks (GNNs) Basics 4) Graph Anomaly Detection Approaches 5) Applications of Graph Anomaly Detection 6) Advanced GNN Techniques for Anomaly Detection 7) Case Studies and Projects 8) Final Project and Presentation.
Course period1/02/2430/06/24
Course levelPG
Course formatLecture