This article proposes the augmentation of the adjacency model of networks for graph signal processing. It is assumed that no information about the network is available, apart from the initial ...

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Discover the role of graph theory in genome sequencing. Explore Hamiltonian, Euler, and de Bruijn graphs and their advantages and disadvantages in DNA sequencing. Gain insights into the relatedness of ...

An adjacency matrix is a square matrix $$N \times N$$ where $$N$$ is the number of vertices in the graph. Each row and column $$i$$ in the matrix represents the connection the vertex $$V_i$$ with the ...

Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the graph G in ...