Bipartite Graph Approximation and Inference: An Eigenstructure-Based Approach
Bipartite graphs are a special class of graphs where nodes are divided into two distinct sets, with edges only connecting nodes from different sets. These graphs play a key role in applications such as critical sampling in filter banks and graph-based co-clustering. However, general graphs often lack an inherent bipart...