GRL Series

Understanding the Building Blocks of Graph Neural Networks (Intro)

Intuitions (with running code) on the neural framework for analyzing and learning from graph data

This post is an introduction to a series of articles on Graph Neural Networks (GNNs). The goal of this series is to provide a detailed description, with intuitions and examples, of the GNNs building blocks.

In this series, I will also share running code, using Numpy, Pytorch, and the most…