Workshop Pathway#
2024 Instructor: Mahmood Amintoosi
Welcome to this hands-on workshop, where we’ll delve into the exciting world of Graph Neural Networks (GNNs)! GNNs have revolutionized Machine Learning by enabling effective analysis of complex graph-structured data. To help you get started, I’ve curated a concise guide (study sheet) that will introduce you to the fundamentals of GNNs and bring you up-to-speed with the latest advancements.
Some valuable resources to deepen our understanding of GNNs#
Gentle Introduction to GNNs (by Distill)
Understanding Convolutions on Graphs (by Distill)
Math Behind Graph Neural Networks (by Rishabh Anand)
Our main source book: Hands-on graph neural networks using Python#
Hands-on graph neural networks using Python : practical techniques and architectures for building powerful graph and deep learning apps with Pytorch Labonne, Maxime, 2023. PDF
This repository incorporates materials and inspiration from the PyTorch-Geometric documentation and Hands-on graph neural networks using Python book. We acknowledge the valuable resources provided by these resources, which have been essential in the development of this tutorial.