IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
IEEE

Fault Diagnosis for RPMs Based on Novel Weighted Multi-Scale Fractional Permutation Entropy Improved by Multi-Scale Algorithm and PSO

Abstract: Railway point machines (RPMs) are important to make the trains operate efficiently and safely. Thus it is vital to research fault diagnosis. Nowadays contactless fault diagnosis attracts ...