SD3MF learns deep hierarchical factorizations of multimodal brain graphs with a shared latent space and encoder-decoder training to jointly reconstruct graphs and predict supervised outcomes.
A generalist vision–language foundation model for diverse biomedical tasks.Nature Medicine, 30(11):3129–3141
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Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis
SD3MF learns deep hierarchical factorizations of multimodal brain graphs with a shared latent space and encoder-decoder training to jointly reconstruct graphs and predict supervised outcomes.