A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment

Background: Presence of multimodal brain graphs derived from different neuroimaging modalities is inarguably one of the most critical challenges in building unified classification models that can be trained and tested on any brain graph regardless of its size and the modality it was derived from.