AGC is designed to support the processing and analysis of brain connectivity data by leveraging standard outputs from widely used neuroimaging pipelines such as CPAC and FreeSurfer. Its primary objective is to transform multimodal neuroimaging data into graph-structured representations and apply Graph Neural Networks (GNNs) for classification and interpretability analysis.