# Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview

@article{Zhang2019GraphNN, title={Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview}, author={Jiawei Zhang}, journal={ArXiv}, year={2019}, volume={abs/1908.00187} }

Graph neural networks denote a group of neural network models introduced for the representation learning tasks on graph data specifically. Graph neural networks have been demonstrated to be effective for capturing network structure information, and the learned representations can achieve the state-of-the-art performance on node and graph classification tasks. Besides the different application scenarios, the architectures of graph neural network models also depend on the studied graph types a…

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