GRL Series

Graph Attention Networks Under the Hood

A Step-by-step Guide From Math to NumPy

Graph Attention Networks Layer —Image from Petar Veličković

Graph Neural Networks (GNNs) have emerged as the standard toolbox to learn from graph data. GNNs are able to drive improvements for high-impact problems in different fields, such as content recommendation or drug discovery. Unlike other types of data such as images, learning from graph…