Abstract: In this article, we propose and develop a spectral graph based vertex varying Wiener filtering framework in the joint vertex-frequency domain for denoising of graph signals defined on ...

Abstract: This paper proposes a new Quantum Spatial Graph Convolutional Neural Network (QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes. Unlike ...

College of Information Science and Engineering, Hunan Provincial Key Laboratory of Intelligent, Computing and Language Information Processing, Hunan Normal University, Changsha, P. R. China ...

This repository contains JavaScript based examples of many popular algorithms and data structures. Each algorithm and data structure has its own separate README with related explanations and links for ...

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Given an undirected complete graph G = (V,E) G = (V, E) on kn k n vertices with a non-negative weight function on E E, the maximum-weight k k -cycle (k k -path) packing problem aims to compute a set ...