This project implements a graph data structure using an adjacency matrix. It allows users to create ... Nodes are automatically numbered starting from 1. Add directed edges ([3]) between existing ...

spectral_concatenation: performs the eigenvector concatenation with n linear layer (default: n=2), it uses parallel computing. convGCN: is our convolutional graph neural networks. It runs in two modes ...

But things change in a directed graph, where edges have direction — like one-way streets or ... matrix multiplication. We’ll explore how squaring the adjacency matrix of a graph helps us uncover all ...

Existing random graph models introduce unwanted features such as multiple edges and directed cycles when randomizing directed acyclic networks. This paper proposes a new random graph model for ...

Abstract: This article focuses on the event-based fully distributed state estimation problem under noisy environment and directed graphs. In a networked system, agents cooperatively estimate the ...