IEEE

Spectral Graph Based Vertex-Frequency Wiener Filtering for Image and Graph Signal Denoising

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 ...
IEEE

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation

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 ...