- 02 Traditional Methods for ML on Graphs
- 03 Node Embeddings
- 04 Link Analysis PageRank
- 05 Label Propagation for Node Classification
- 06 Graph Neural Networks 1 GNN Model
- 07 Graph Neural Networks 2 Design Space
- 08 Applications of Graph Neural Networks
- 09 Theory of Graph Neural Networks
- 10 Knowledge Graph Embeddings
- 11 Reasoning over Knowledge Graphs
- 12 Frequent Subgraph Mining with GNNs
- 13 Community Structure in Networks
- 14 Traditional Generative Models for Graphs