TECHNICAL WORKSHOP SERIES: Introduction to Graph Convolutional Networks by Shaghayegh Sadeghi

Wednesday, November 1, 2023 - 16:00

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.