Proposes the I2B-HGNN framework using information bottleneck-guided graph transformers and heterogeneous graph attention for interpretable multimodal NDD diagnosis.
Structural insight into the individual variability architecture of the functional brain connectome
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Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis
Proposes the I2B-HGNN framework using information bottleneck-guided graph transformers and heterogeneous graph attention for interpretable multimodal NDD diagnosis.