- Yes, includes end-to-end GNN projects for link prediction and node classification.
- Covers graph embeddings, supervised/unsupervised tasks, and knowledge graphs.
- Hands-on PyTorch Geometric exercises prepare learners for real-world datasets.
- Focuses on small to medium-scale graph problems; large-scale frameworks like DGL or GraphX are not covered.
- Teaches evaluation metrics and best practices for graph analytics.
