Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

If you don't have Kivy Installed use the package manager pip to install it.

We investigate the rank of the adjacency matrix of large diluted random graphs: for a sequence of graphs (G n ) n≥0 converging locally to a Galton—Watson tree T (GWT), we provide an explicit formula ...

Abstract: This paper presents OPT+Graph, a web-based program visualization tool to support learning programming graph data structure in C. This tool is developed based on pythontutor.com (OPT). The ...

Let G be a graph, A(G) be the adjacency matrix of G, and λ(G) the least eigenvalue of A(G). Information is given about the following three quantities: $\lambda_R(G ...

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

I am running multivariate analyses (both TE and MI) in a simulated dataset with 10 variables and known causal structure. I then retrieve the adjacency matrix of the estimated causal graph with results ...

Abstract: In recent years, with the in-depth application of AI technology in the field of spatiotemporal fusion, modeling of complex spatiotemporal dependencies of small sample data has become a hot ...