9 Machine learning on knowledge graphs: a primer approach
This chapter covers
- What is Machine Learning on a Knowledge Graph, and why is it critical?
- Explore the most common machine learning tasks performed on graphs and the methods to execute them.
- Understanding the role of node and relationship representations.
9.1 Machine Learning on graphs: why?
9.2 Machine learning on graphs: What?
9.2.1 Node classification
9.2.2 Link Prediction (aka Relationship Prediction)
9.2.3 Clustering and community detection
9.2.4 Graph classification
9.3 Machine learning on graphs: How?
9.3.1 Node Classification and Link Prediction
9.3.2 Graph Classification
9.3.3 Graph Clustering
9.4 Summary
9.5 References