Then, the finite graph data of signal and different scales are generated by the autoencoder (AE) graph generation layer. Finally, a multi-scale cluster-graph convolution neural network is proposed for ...

Graph-based semi-supervised learning (GSSL) has long been a research focus. Traditional methods are generally shallow learners, based on the cluster assumption. Recently, graph convolutional networks ...