AEGCN: An Autoencoder-Constrained Graph Convolutional Network

Mingyuan Ma, Sen Na, Hongyu Wang

We propose a novel neural network architecture, called autoencoder-constrained graph convolutional network, to solve node classification task on graph domains. As suggested by its…