This workshop will introduce participants to working with graph neural networks (GNNs) using PyTorch Geometric. It begins with introductory discussion about graph-structured data and use cases for GNNs. Subsequent hands-on exercises focus on building and training GNNs.

Target audience: This workshop is for those with looking to learn when to use GNNs and how to perform the training.

Workshop format: Presentation with hands-on exercises.

Knowledge prerequisites: Some knowledge of Python and deep learning.

Hardware/software prerequisites: The hands-on exercises will be done using Google Colab so only an up-to-date web browser is needed to participate.

Learning objectives: Participants will walk away with an understanding of graph-structured data, how GNNs work, and how to train GNNs.