This repository contains the companion code for a Packt book on graph neural networks. It covers fundamental concepts of GNNs, implementing models with PyTorch and PyTorch Geometric, and applying them to tasks such as node classification, graph classification, and topology generation. The examples range from social network analysis to chemical compound modeling and drug discovery.