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 ...

Abstract: Graphs are a powerful tool for representing entities and their relationships. Current advances in graph signal processing have made it possible to analyze graph-based data more effectively.

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 ...

Abstract: Multi-view graph clustering can divide similar objects into the same category through learning the relationship among samples. To improve clustering efficiency, instead of all sample-based ...

Department of Information Sciences, Toho University, Funabashi, Japan. The desire to speed up secondary storage systems has lead to the development of disk arrays which achieve performance through ...

Graph colouring remains a central topic in graph theory, providing the mathematical framework for assigning colours to the elements of a graph under specific constraints. In particular, the colouring ...

School of Mathematics and Statistics, Shandong Normal University, Jinan, China. In the next section, a statement of the problem is introduced. Afterwards, the proof of the main results is established.

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 ...