Dynamic multi-scale topology learning and cross-modal graph fusion for autism spectrum disorder diagnosis.
Multi-modal fusion methods have demonstrated potential in integrating complementary information from different data modalities. However, existing methods often rely on static fusion strategies, failing to capture the heterogeneous interactions across modalities. To address this challenge, we propose the dynamic multi-s...