Technical requirements

We will be using Jupyter notebooks with Python 3.8 for all of our exercises. The following is a list of the Python libraries that need to be installed for this chapter using pip. For example, run pip install networkx==2.5 on the command line:

Jupyter==1.0.0
networkx==2.5
scikit-learn==0.24.0 
numpy==1.19.2 
node2vec==0.3.3 
tensorflow==2.4.1 
stellargraph==1.2.1
communities==2.2.0 
git+https://github.com/palash1992/GEM.git

In the rest of this chapter, if not clearly stated, we will refer to nx, pd, and np as results of the following Python commands: import networkx as nx, import pandas as pd, and import numpy as np.

All code files relevant to this chapter are available at https://github.com/PacktPublishing/Graph-Machine-Learning/tree/main/Chapter06.