Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning Tensor-ring (TR) decomposition is a powerful tool for exploiting the low-rank property of multiway data ...

This paper considers a class of distributed quadratic optimization problem under an undirected and connected graph. Different from most of the existing distributed optimization works that consider the ...