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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
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