Laplacian-Regularized Nonnegative Least Squares

New DCR framework enhances graph learning by approximating Laplacian pseudoinverse

Researchers have developed a new framework called Difference-of-Convex Regularizer (DCR) for graph learning. This method addresses challenges in computing the pseudoinverse of the graph Laplacian, which can be dense and…