Graph Neural Networks (GNNs) are effective and popular techniques for representation learning of graph data, significantly relying on message passing mechanism. Most GNNs utilize graph convolution ...

Abstract: Deep learning networks have developed rapidly in rotating machinery fault identification over the past several years. However, due to the poor working conditions of the rotating machinery, ...