The method is described in Phys. Rev. B 110, 235131 (2024), which extends the scalar-valued approach introduced in Phys. Rev. B 110, 035154 (2024). For applications involving real-frequency data used ...
Abstract: A new, practical algorithm, fast Sketched Columnbased Matrix Approximation (fSCMA), is proposed for low–rank matrix approximation. fSCMA leverages randomly, but fully sampled columns ...
Abstract: Non-negative Matrix Factorization (NMF) has been widely adopted for link prediction, aiming at finding multiple low-dimensional matrices whose product approximates the adjacency matrix of a ...
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