Advanced Deep Learning with Python

Implementing graph regularization

In this section, we'll implement graph regularization over the Cora dataset with the help of the NSL framework. This example is based on the tutorial available at https://www.tensorflow.org/neural_structured_learning/tutorials/graph_keras_mlp_cora. Before we proceed with the implementation, we have to satisfy some prerequisites. First, we need TensorFlow 2.0 and the neural-structured-learning 1.1.0 package (available via pip).

Once we satisfy these requirements, we can proceed with the implementation:

1. We'll start with the package imports:

import neural_structured_learning as nslimport tensorflow as tf

2. We'll continue with some constant parameters of the program (hopefully the constant names and the comments ...