DDHMDA: Dual Dynamic Hypergraph Convolution Framework for Human Microbe-Disease Association Prediction
A novel deep learning approach named the Dual Dynamic Hypergraph Convolution Framework for Human Microbe-Disease Association Prediction (DDHMDA) is proposed, which dynamically constructs a dual hypergraph architecture: a differentiable K-means similarity hypergraph to capture intra-modal global clustering patterns, and...