- Basic Python and fundamental ML knowledge are recommended.
- The course introduces graph theory and GNN concepts gradually.
- Hands-on labs guide learners through PyTorch Geometric workflows.
- Ideal for beginners in graph ML, but some programming experience helps.
- No prior exposure to large-scale graph frameworks is required.
