Session 09 Supplement
Graph Clustering
DRAFT: This content is under development. Check back closer to the course start date.
Learning Objectives
- Apply community detection algorithms (modularity, Louvain, hierarchical)
- Understand knowledge graphs: entities, relations, and reasoning
- Use graph embedding methods (Node2Vec) to combine structure with features
- Construct graphs from unstructured data (text, knowledge bases)
Topics
- Community detection
- Knowledge graphs
- Graph embeddings (Node2Vec)
- Graphs from text and knowledge bases
Materials
Slides, readings, and exercises will be posted here.