After installing and adding everything necessary, all you need to do is run the program, choose whether or not you want random node locations, and then press the new graph button to create both the ...

Though the basic operations like adding an edge, removing an edge and checking whether there is an edge from vertex i to vertex j are not as extremely time efficient, constant time operations as ...

The boost of signal processing on graph has recently solicited research on the problem of identifying (learning) the graph underlying the observed signal values according to given criteria, such as ...

To address these issues, we propose a graph-based temporal–spatial network that employs a learnable adjacency matrix for appliance-level load prediction in this work.

This is a survey paper on the second largest eigenvalue λ₂ of the adjacency matrix of a graph. Among the topics presented are the graphs with small λ₂, bounds for λ₂, algebraic connectivity, graphs ...

In this paper, we describe three graph theoretic heuristics that attempt to determine an optimal planar adjacency graph from a REL chart. Our computational experience suggests that these methods can ...