Brain Graph

Brain graph analysis represents brain structure and function as networks of interconnected nodes (brain regions) and edges (connections), aiming to understand brain organization and diagnose neurological disorders. Current research heavily utilizes graph neural networks (GNNs), including variations like diffusion models and capsule networks, to analyze these complex data structures, often focusing on improving the accuracy and interpretability of brain graph classification and generation. These advancements hold significant promise for improving the diagnosis and understanding of neurological conditions by providing more accurate and insightful models of brain connectivity.