Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

Refining with colors Mathematicians have developed various strategies to compare graphs. Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time.

Graph algorithms are vital components in various computational domains, handling tasks from social network analysis to scientific simulations. As graph data’s scale and complexity surge, the need for ...

Graph traversal algorithms can help model and analyze complex systems and relationships, such as social networks, web pages, transportation networks, or dependency graphs, as well as solve various ...

This paper presents a novel program named FastCluster on the basis of mathematical graph theory. The algorithm makes an improvement to Hobohm and Sander’s algorithm to generate non-redundant protein ...

The Conflict-Based Search Weighted Dependency Graph algorithm is one of the optimal algorithms for multi-robot path planning. Although this algorithm can find optimal solutions relatively quickly, its ...

In cooperative spectrum sensing (CSS), the hidden node problem can arise due to factors such as hidden terminals or shadowing effects, which hinder secondary users (SUs) from effectively participating ...

Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing complexity of the graphs increased the algorithm's running time ...