Multi-Head Hypergraph Convolution With Feature Enhancement and Latent Representation Learning for miRNA-Disease Association Prediction.

Abstract excerpt

The association between miRNAs and diseases is crucial forunderstanding pathological mechanisms. However, existing methods often struggle to capture deep topological structures and suffer significant performance degradation under sparse associations. To address these challenges, we propose FKAMHV, a novel framework that integrates Fast Kolmogorov-Arnold Networks (FastKAN) and Multi-Head Hypergraph Convolution...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Computational Biology