There is increasing interest in the study of community detection for sparse networks. Here, we propose a new method for detecting communities in sparse networks that uses the symmetrized Laplacian ...

Legate Sparse uses a combination of static and dynamic techniques to efficiently compose independently written sparse and dense array programming libraries, providing a unified Python interface for ...

The sparse module of the popular SciPy Python library is widely used across applications in scientific computing, data analysis and machine learning. The standard implementation of SciPy is restricted ...

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

SciPy has recently introduced classes for sparse objects that are named 'array', such as 'csr_array', which have the same structure as the corresponding 'matrix' like 'csr_matrix', but default to ...

When constructing sparse matrixes from SparsePauliOp, the current code constructs a sparse matrix from each BasePauli (which is a string of form 'IIIXYZIZYIII') and then combines then in linear ...

2 Department of Preventive Medicine, Shantou University Medical College, Shantou, China Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two ...