Explore a comprehensive benchmark for brain network analysis using Graph Neural Networks (GNNs) in this informative 28-minute video presentation. Delve into the world of BrainGB, a standardized framework designed to bridge the gap between neuroimaging and advanced machine learning techniques. Learn about the process of constructing brain networks from both functional and structural neuroimaging data, and discover how GNNs can be effectively applied to analyze these complex networked structures. Gain insights into the extensive experiments conducted across various cohorts and modalities, and understand the recommended best practices for designing GNNs specifically for brain network analysis. Access valuable resources, including models, tutorials, and examples, through the BrainGB website and Python package to support open and reproducible research in this promising field of study.