A Review of Graph Signal Processing with Neural Networks

Authors: Yuzhong Yan, Cajetan M. Akujuobi

Abstract: In this paper, we review the development of the traditional graph signal processing methodology, and the recent research areas that are applying graph neural networks on graph data. For the popular topics on processing the graph data with neural networks, the main models/frameworks, dataset and applications are discussed in details. Some challenges and open problems are provided, which serve as the guidance for future research directions.

Pages: 741-746

DOI: 10.46300/9106.2022.16.91

International Journal of Circuits, Systems and Signal Processing, E-ISSN: 1998-4464, Volume 16, 2022, Art. #91