Our paper was selected as the cover article of Journal of Image and Graphics, Vol. 31, No. 7 π
Title: Brain Structure-Function Coupling Hypergraph Neural Network
Paper: https://www.cjig.cn/zh/article/doi/10.11834/jig.250535/
Our paper has been published in Journal of Image and Graphics and selected as the cover article of Volume 31, Issue 7 (July 2026) (Lei et al., 2026). The cover highlights structure-function coupling hypergraph computation for brain disease diagnosis, corresponding to the central theme of our work.
Cover of Journal of Image and Graphics, Volume 31, Issue 7 (2026).
Brain structure and function jointly characterize the organizational mechanisms of brain networks. In this work, we introduce a structure-function coupling hypergraph neural network to model high-order associations between functional connectivity and structural connectivity for brain disease diagnosis. The framework constructs functional and structural hypergraph branches, performs hypergraph convolution for high-order representation learning, and uses cross-modal reconstruction to enhance the coupling between the two modalities.
