Open AccessA Review of Graph Signal Processing with Neural Networks
Author(s) -
Yuzhong Yan,
Cajetan M. Akujuobi
Publication year - 2022
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2022.16.91
Subject(s) - computer science , graph , artificial neural network , signal processing , artificial intelligence , data science , theoretical computer science , digital signal processing , computer hardware
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.