This is a preview. Log in through your library . Abstract This paper considers the planar decomposition of a complete bipartite graph, that is, the decomposition of a complete bipartite graph into ...

This project explores the classification of bipartite graphs using deep learning methods. It combines classical graph theory techniques (like the Kernighan–Lin partitioning algorithm) with ...

In an interesting recent article [4], J. W. Moon has given a list of properties of the graph L(Bmn) (to be defined more precisely below) and investigated the question of whether these properties ...

Abstract: Structured proximity matrix learning, one of the mainstream directions in clustering research, refers to learning a proximity matrix with an explicit clustering structure from the original ...

There was an error while loading. Please reload this page. You're given an undirected graph with N vertices labeled from 0 to N-1 and E edges. Check whether the graph ...