A Review of Graph Signal Processing with Neural Networks

Yuzhong Yan, C. Akujuobi
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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.
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神经网络处理图信号的研究进展
本文综述了传统图信号处理方法的发展,以及将图神经网络应用于图数据的最新研究领域。针对神经网络处理图形数据的热门话题,详细讨论了主要的模型/框架、数据集和应用。提出了一些挑战和有待解决的问题,为今后的研究方向提供了指导。
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International Journal of Circuits, Systems and Signal Processing
International Journal of Circuits, Systems and Signal Processing Engineering-Electrical and Electronic Engineering
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