Stochastic Training of Graph Convolutional Networks

ICLR 2018 Jianfei ChenJun Zhu

Graph convolutional networks (GCNs) are powerful deep neural networks for graph-structured data. However, GCN computes nodes' representation recursively from their neighbors, making the receptive field size grow exponentially with the number of layers... (read more)

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