Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
An information bottleneck-guided node-level adaptive fusion employs the IB principle to learn independent weights for each node, facilitating the fine-grained integration of high-order information and global information to obtain an efficient representation for downstream tasks.
Jing-Xi Feng, Xu-Dong Chen, Yi-Fan Zhang et al.
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