Graph Neural Networks and Transformers

Presentations

Presentations

Notebooks and colab

Notebooks and Colab

Session 1

Representing graphs for neural networks

Session 1 extra material

Summing or concatenating embeddings?

Session 2

Datasets, Dataloaders and Training

Session 3

Implementing a Graph Neural Network

Session 4

GNNs to Transformers

Reference

Quick Reference
Instructor’s guide

Cluster guide

Running the material on the LUMI super computer

Graph Neural Networks and Transformers

Index
Edit on GitHub

Index

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