I’ve been conducting a large-scale bibliometric study on publicly available Chinese academic literature related to hacking and crashing Western power grids. In this article, I’m sharing the main ...

In the case that W is identity, or a diagonal matrix with equal weights, the problem simplifies to the unweighted case in section 2.1. The derivation of the weighted correction approach using Lagrange ...

If one creates a weighted, undirected graph from an adjacency matrix, wouldn't it make sense to check if the adjacency matrix is symmetric? This check was also introduced in rigraph I think, see ...

Subsequently, a weighted graph model is constructed based on spectral graph theory, and an improved spectral clustering algorithm is employed to partition the power grid. Finally, a safety risk ...

Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes ...

However, the consistency of information in a multi-view dataset is easily overlooked, causing an unsatisfactory unified graph matrix. To address these problems, this study proposes a novel ...

Keywords: microbe, disease, association prediction, collaborative weighted non-negative matrix factorization, graph Laplacian regularized least squares Citation: Xu D, Xu H, Zhang Y and Gao R (2022) ...