Neural networks have been adapted to leverage the structure and properties of graphs. We explore the components needed for building a graph neural network - and motivate the design choices behind them. This article is one of two Distill publications about graph neural networks. Take a look at Understanding Convolutions on Graphs Graphs are all around us; real world objects are often defined in ter...