This repository is a study guide aimed at students wanting to learn about Graph Neural Networks (GNNs). It provides curated links to foundational videos, introductory articles from Distill, survey papers from arXiv, and deeper technical content. The guide covers topics like graph convolutions, geometric deep learning, and architectural variants, serving as a non-exhaustive but organized learning resource.