From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation

1 Jul 2020Songyang ZhangHan ZhangShuguang CuiZhi Ding

Graph convolutional networks (GCN) have been recently applied to semi-supervised classification problems with fewer labeled data and higher-dimensional features. Existing GCNs mostly rely on a first-order Chebyshev approximation of the graph wavelet-kernels... (read more)

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