Abstract: A wide variety of graph algorithms expressed as linear algebra operations, i.e., triangle counting, k-truss analysis, breath first search, betweenness centrality, depend on the masked sparse ...
Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
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