A Survey on Graph Neural Networks

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Machine Learning

A Survey on Graph Neural Networks

Graph Neural Networks: Taxonomy, Advances and Trends

Graph neural networks provide a powerful toolkit for embedding real-worldgraphs into low-dimensional spaces according to specific tasks.

This survey aims to overcome this limitation, andprovide a comprehensive review on the graph neural networks.

First of all, weprovide a novel taxonomy for the graph neural networks, and then refer to up to 400 relevant literatures to show the panorama of the graph neural networks.

All of them are classified into the corresponding categories.

In order to drive the graph neural networks into a new stage, we summarize four future researchdirections so as to overcome the facing challenges.

Authors

Yu Zhou, Haixia Zheng, Xin Huang

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