A Comprehensive Survey on Graph Neural Networks(图神经网络综合研究)

作者：花生_TL007 | 2024-04-05 14:52:35

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a comprehensive survey on graph neural networks

A Comprehensive Survey on Graph Neural Networks

图神经网络综合研究

Zonghan Wu, Shirui Pan, Member, IEEE, Fengwen Chen, Guodong Long,

Chengqi Zhang, Senior Member, IEEE, Philip S. Yu, Fellow, IEEE

Abstract—Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are typically represented in the Euclidean space. However, there is an increasing number of applications where data are generated from non-Euclidean domains and are represented as graphs with complex relationships and interdependency between objects. The complexity of graph data has imposed significant challenges on existing machine learning algorithms. Recently, many studies on extending deep learning approaches for graph data have emerged. In this su

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