Foundations & Core

• Graph Foundations
• Representation & Data Prep
• Message Passing
• Classic Architectures (GCN, GAT, GIN)

Advanced

• Deep GNNs & Limitations
• Heterogeneous Graphs
• Graph Transformers

Practice & Frontier

• Training & Scaling
• When to Use GNNs
• GNNs & LLMs