A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

This paper proposes a procedure for learning the adjacency matrix of a graph providing support to a set of irregularly sampled image values. Our approach to the graph adjacency matrix learning takes ...

ABSTRACT: Let G be a graph. G is singular if and only if the adjacency matrix of graph G is singular. The adjacency matrix of graph G is singular if and only if there is at least one zero eigenvalue.

ABSTRACT: Let G be a graph. G is singular if and only if the adjacency matrix of graph G is singular. The adjacency matrix of graph G is singular if and only if there is at least one zero eigenvalue.

In this letter, we propose a visibility graph (VG)-based adjacency matrix representation of LS in conjunction with a residual deep neural network (ResNet) for accurate detection of COPD, namely, the ...

In the case of an undirected graph, the adjacency_matrix. class does not use a full V x V matrix but instead uses a lower triangle (the diagonal and below) since the matrix for an undirected graph is ...

The resulting graphene is covalently bonded to the ceramic precursor throughout the matrix. It is relatively cheap and highly adaptable, vastly expanding potential applications for graphene. It is ...