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Unlock the Power of Graph Neural Networks: Understanding the Fundamentals and Knowing When to Implement
March 24 @ 12:00 pm - 1:00 pm
- Instructor: Zilin Bian, New York University
- Schedule: Friday March 24, 12:00pm-1:00pm
- Description: Graph Neural Networks (GNNs) are a powerful tool for analyzing and processing graph-structured data. This course covers the basics of GNNs, including graph convolutional networks, graph attention networks and graph wavelet networks, including how they work and how to implement them. The session aims to provide a solid understanding of GNN modeling for machine learning practitioners, data scientists, and anyone interested in AI advancements.