Now that we have all the tools to describe our graph, we will focus on how to use this new knowledge to make predictions out of our data. We'll start from a low graph dependency where we just add some graph-based features to our dataset. We will be upskilling to graph embedding, where the graph structure is at the core of machine learning techniques.
This section consists of the following chapters:
- Chapter 8, Using Graph-Based Features in Machine Learning
- Chapter 9, Predicting Relationships
- Chapter 10, Graph Embedding -from Graphs to Matrices
