Abstract: Graph neural networks (GNNs) have demonstrated significant advantages in handling data from non-Euclidean domains. Given the successful application of neural architecture search (NAS) in ...
Abstract: Graph Convolutional Network (GCN) has been widely applied in mechanical fault diagnosis due to its ability to extract features from data in non-Euclidean spaces. However, the local ...