Jikang Ding

High-Accuracy Anxiety Disorder Identification Through Subspace-Enhanced Hypergraph Neural Network

We propose a subspace-enhanced hypergraph neural network (seHGNN) for classifying anxiety disorder (AD). By leveraging a learnable incidence matrix, seHGNN strengthens the influence of hyperedges in graphs and enhances feature extraction performance of HGNNs. Then, we conduct this model within an ex…