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cs.LG2026
Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
Siyu Liu, Guangqi Wen, Peng Cao +4
Modeling the complex interactions among functional subnetworks is crucial for the diagnosis of mental disorders and the identification of functional pathways. However, learning the…
cs.LG2026
BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis
Xiaolong Li, Guiliang Guo, Guangqi Wen +6
Mental disorder populations exhibit pronounced heterogeneity -- that is, the significant differences between samples -- poses a significant challenge to the definition of positive…
cs.LG2026
Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis
Jingfeng Tang, Peng Cao, Guangqi Wen +3
Brain network analysis based on functional Magnetic Resonance Imaging (fMRI) is pivotal for diagnosing brain disorders. Existing approaches typically rely on predefined functional…