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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 c

本文标签： 神经网络 Survey Comprehensive Graph Networks

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