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Top to bottom approach - high level resources
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Classroom Contents
How to Get Started With Graph ML - Blog Walkthrough
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- 1 Research/learning challenges
- 2 What is Graph ML? We're all graphs
- 3 Cool Graph ML applications
- 4 Fake news and fundamental science
- 5 Halicin a potent antibiotic discovered by a GNN
- 6 Contrasting Graph ML with CV and NLP
- 7 Resources - graph embedding methods
- 8 Graph Neural Networks
- 9 Top to bottom approach - high level resources
- 10 Spatial methods
- 11 Simple baselines sometimes work great!
- 12 Parallel with CNNs
- 13 GNN expressivity
- 14 Dynamic graphs
- 15 Unsupervised graph learning and geometric DL
- 16 Datasets/benchmarks and newsletter
- 17 GAT project
- 18 Related research subfields
