# Connecting Graph Convolutional Networks and Graph-Regularized PCA

@article{Zhao2020ConnectingGC, title={Connecting Graph Convolutional Networks and Graph-Regularized PCA}, author={Lingxiao Zhao and L. Akoglu}, journal={ArXiv}, year={2020}, volume={abs/2006.12294} }

Graph convolution operator of the GCN model is originally motivated from a localized first-order approximation of spectral graph convolutions.This work stands on a different view; establishing a connection between graph convolution and graph-regularized PCA. Based on this connection, GCN architecture, shaped by stacking graph convolution layers, shares a close relationship with stacking graph-regularized PCA (GPCA). We empirically demonstrate that the unsupervised embeddings by GPCA paired with… Expand

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