Started Stanford Coursework for ML with Graphs
- Graph neural networks
- Representation learning
- Node embeddings and classification
- Link analysis for networks
- Graph structure of the web
- Models of network evolution and network cascades
- Reasoning over knowledge graphs
- Deep generative models for graphs
- Influence maximization in networks
- Communities and clusters in networks