Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
Abstract: This article presents the principal angle-based sparse sampling (PABSS) method, developed to enhance the efficiency of array pattern synthesis by streamlining the angular samples. Through ...
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