School of Computer Science
Technical Workshop Series
Presenter: Shaghayegh Sadeghi
Date/Time: Wednesday, November 1st 4:00 pm – 5:00 pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
LATECOMERS WILL NOT BE ADMITTED once the presentation has begun.
This workshop on Graph Convolutional Networks (GCNs) is designed to introduce students to the fundamentals of GCNs, providing a concise yet comprehensive overview of this exciting area of machine learning. We will cover the basic concepts, practical applications, and offer hands-on experience.
I. Theoretical Foundations of GCNs
- Fundamentals of Graph Theory
- Graph Convolution Layers
- Real-world Applications
II. Hands-On Coding with GNN Libraries (e.g., PyTorch Geometric)
Everyone is welcome to join this workshop regardless of their background. However, participants with a basic understanding of graph theory and machine learning concepts, familiarity with programming (preferably Python) will be able to derive greater benefit from the workshop.
Shaghayegh Sadeghi is a PhD candidate at the University of Windsor, specializing in the application of Artificial Intelligence (AI) in the pharmaceutical field. With a strong interest in graph analysis and text embedding, Shaghayegh's research focuses on leveraging AI techniques to extract valuable insights from pharmaceutical data for drug development and patient care improvement.