This article is one of two Distill publications about graph neural networks. Take a look at A Gentle Introduction to Graph Neural Networks for a companion view on many things graph and neural network related. Many systems and interactions - social networks, molecules, organizations, citations, physical models, transactions - can be represented quite naturally as graphs. How can we reason about and
![Understanding Convolutions on Graphs](https://cdn-ak-scissors.b.st-hatena.com/image/square/a9dd8b06f3774674b5b77d79465061b03566fce7/height=288;version=1;width=512/https%3A%2F%2Fdistill.pub%2F2021%2Funderstanding-gnns%2Fthumbnail.jpg)