NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors

Taehyung Kwon, Jihoon Ko, Jinhong Jung +1

Many real-world data are naturally represented as a sparse reorderable matrix, whose rows and columns can be arbitrarily ordered (e.g., the adjacency matrix of a bipartite graph).…