In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...

Abstract: Compressed sparse row (CSR) is a frequently used format for sparse matrix storage. However, the state-of-the-art CSR-based sparse matrix-vector multiplication (SpMV) implementations on ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

A simple check could be something like symmetric = not np.any((matrix!=matrix.T).data) (here assuming that it is scipy.sparse.csr_matrix). Here is a simple example (not the most efficient way to check ...

Is your feature request related to a problem? Please describe. I am not sure if I am doing something wrong but I am using scipy.sparse.csr_matrix object and contract it with a np.ndarray object using ...

Abstract: CSR (Compressed Sparse Row) is the most popular and widely used sparse matrix representation format for Sparse Matrix-Vector Multiplication (SpMV), which is a key operation in many ...