In this paper, we propose a method for bracing direction optimization of grid shells using a Deep Deterministic Policy Gradient (DDPG) and Graph Convolutiona ...

In C programming, graphs and matrices are often used to represent relationships between elements. A graph is a set of nodes (or vertices) connected by edges. A matrix can represent a graph, showing ...

However, with the large-scale access of renewable energy such as photovoltaic and wind power, the uncertainty of power flow direction of microgrid makes the traditional fault section identification ...

Direction - relationship between two nodes only applies one way, it's important to make sure all directional graphs are DAG (Directed Acyclic Graph) Connectivity - measures the minimum number of edges ...

We present an algorithm to estimate a single entry of the inverse of a matrix; it is derived using a bidirectional search on a flow graph. This method has immediate application in analyzing dynamical ...

Matrix-variate Gaussian graphical models (GGM) have been widely used for modeling matrix-variate data. Since the support of sparse precision matrix represents the conditional independence graph among ...

Finally, lncRNA similarity, protein similarity, and LPI matrix were integrated to the weight graph-regularized matrix factorization model for computing the association scores for each lncRNA–protein ...