Abstract: 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 ...
Abstract: This paper presents a novel semi-supervised multi-scale graph convolution autoencoder network for industrial fault diagnosis. The proposed model aims to address the challenge of limited ...
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