Quadra-Brain is proposed, a computational framework for modeling quadruplet higher-order interactions in fMRI-based brain disease diagnosis and suggests that quadruplet interactions provide a meaningful representation of collective brain coordination and offer complementary insights beyond conventional connectivity-bas...
An edge-centric brain transformer (EBT) framework is proposed that reformulates rs-fMRI analysis as functional connection representation learning and consistently outperforms representative graph neural networks, brain transformers, and conventional connectivity-based approaches.
Deng-Yi Zhao, Zhi-Heng Zhou, Meng-Yao Zhou et al.· 0 citations
A new hypergraph robust framework, HyperTrust, is proposed, which first estimates hyperedge trustworthiness through a pretraining-based, entropy-aware strategy, and then incorporates the HyperedgeBoost module to enhance reliable supervision by connecting unlabeled nodes to trustworthy hyperedges, as well as the Hypered...
Meng-Yao Zhou, Zhi-Heng Zhou, Xiao Han et al.· 0 citations
This work investigates hypergraph oversmoothing from a dynamical-systems perspective and develops a reaction--diffusion framework for depth-resistant hypergraph learning, which introduces a reaction mechanism acting on the transverse component to compensate diffusion-induced dissipation and stabilize discriminative var...
A new descriptive homophily measure for general social hypergraphs where group interactions involve arbitrary number of individuals is proposed, and constraints of monotonic and majority homophily for two-class labels are established, providing a framework for analyzing homophily patterns.
Yunping Wang, Zhiheng Zhou, Mingwei Li et al.· Chaos· 0 citations
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