Overview
Dive into the world of graph neural networks (GNNs) with this comprehensive 51-minute Machine Learning Tech Talk. Explore the theoretical foundations, data processing techniques, and various GNN architectures such as GCNs, GATs, and MPNNs. Gain hands-on experience through a guided Colab exercise and discover valuable resources for further study. Learn from DeepMind's Senior Research Scientist as he unravels the potential applications and inner workings of GNNs, equipping you with essential knowledge to leverage these powerful tools in your machine learning projects.
Syllabus
- Introduction
- Fantastic GNNs and where to find them
- Graph data processing
- GCNs, GATs and MPNNs
- Colab exercise
- Resources for further study
Taught by
TensorFlow