In the last two posts the very basics and inner working of the GNN has been covered. Now we will start with the implementation of GNN with the help of pytorch geometric. In case you are not familiar with the working of pytorch please through my previous tutorial series of Deep Learning with Pytorch.
In this tutorial we will go through the basic of Pytorch Geometric which is the backbone of GNN implementation.
In the next post we will go through how to train and implement a Node Classification model in pytorch geometric.
Thanks for reading, do share & like the tutorial if you found it useful. Please comment if you have any questions.