Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

This is just the baseline implementation. Contribute to wanifarooq/Learning-with-Noisy-Graph-Labels-Competition-IJCNN_2025 development by creating an account on GitHub.

A SWOT matrix, also known as a SWOT Analysis, consists of a square graph listing a company's strengths, weaknesses, opportunities and threats in four individual quadrants.