School of Computer Science
Technical Workshop Series
Introduction to Graph Convolutional Networks
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.
Abstract:
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.
Workshop Outline:
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)
Prerequisites:
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.
Biography:
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.