Comparing Shallow and Deep Graph Models for Brain Network Analysis

Joint with Erica Choi and Sally Smith.

The classification of neuroimaging data using support vector machines and graph neural networks is studied. Our main finding is that graph kernels improve the performance and interpretability of these models. Here is our paper and website.