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.
Multiview subspace clustering via tensorial t-product representation.IEEE Transactions on Neural Networks and Learning Systems, 30(3): 851–864, 2019
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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.