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