After covering the basics of GNN and PyG , now let’s start doing the actual implementation of GNN model training and inference. In this post we will use Cora citation dataset, where each node is a paper and edges refer to the citation. There seven types of papers (Example: Paper of DL, RL, Graphs) which…
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…