This repository is a structured educational course on Graph Neural Networks, covering foundational concepts like graph theory, graph convolutional networks, graph attention networks, and GraphSAGE. It uses PyTorch Geometric as the primary deep learning framework. Materials include Jupyter notebooks paired with explanatory articles, progressing from introductory concepts to state-of-the-art architectures. The course targets learners seeking practical implementation experience with GNNs.