IEEE

Space–Frequency Cross-Attention Node Feature Optimization Graph Neural Operator for Partial Differential Equations

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...
IEEE

BPF-GNN: A Multi-Granularity Feature Extraction Model Using Graph Neural Networks for Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for critical network management tasks such as traffic type identification, resource allocation, and risk mitigation, especially given that ...