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: For sparse array design, degrees of freedom (DOFs) and mutual coupling (MC) are two essential metrics to be taken into account, and high DOFs and low MC are favorable to generating better ...

This repo provides a set of useful functions for operating on sparsely stored arrays. This is extremely useful for significantly reducing storage and minorly improving runtime when you have high ...

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