Author

Amjad Seyedi

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#machine learning May 2026

Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis

Supervised Deep Multimodal Matrix Factorization (SD3MF), an interpretable framework for integrative brain network analysis that generalizes Symmetric Nonnegative Matrix Tri-Factorization from unsupervised single-graph clustering to supervised prediction over populations of multimodal graphs, is presented.

Amjad Seyedi, Li-Fang He, Song-Lin Zhao et al. · arXiv.org · 0 citations