Impact Statement: When utilizing graph neural networks, it is often the case that the weight relationships between nodes are not well understood. This is particularly true in the context of using ...

Abstract: Predicting the electricity consumption of individual appliances, known as appliance-level energy consumption (ALEC) prediction, is essential for effective energy management and conservation.

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 ...

Department of Mathematics and Statistics, Qinghai Minzu University, Xining, China. Since then, much attention has been paid to this topic, but they mainly focus on undirected graphs and integral trees ...

In the first line: a number of next lines. In a line (expect the first): a number of vertices and after space an adjacency matrix written from the left to the right and from the top to the bottom.

For 0 ≤ α ≤ 1, Nikiforov proposed to study the spectral properties of the family of matrices Aα(G) = αD(G)+(1−α)A(G) of a graph G, where D(G) is the degree diagonal matrix and A(G) is the adjacency ...

Brain-computer interfaces (BCIs) establish a direct communication pathway between the brain and external devices and have been widely applied in upper limb rehabilitation for hemiplegic patients.

This project is part of the System Programming 2 course assignment at Ariel University. The task involves implementing various graph algorithms and data structures. Graph.hpp: Header file containing ...