IEEE8d
Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion
To address these issues, we propose a new GNN algorithm, LEGNN (Local and Global Enhanced Graph Neural Network), which introduces several key improvements over traditional GNN models such as GraphSAGE ...
Frontiers16d
EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss
Instead of using temporal MSE according to conventional mathematical models, this paper introduces a novel reconstruction algorithm based on generative adversarial networks with the Wasserstein ...
IEEE29d
Adaptive Dual-Domain Learning for Hyperspectral Anomaly Detection With State-Space Models
To address these challenges, we propose a novel HAD method based on spatial-spectral adaptive dual-domain learning ... and low-frequency information from the HSI via the discrete wavelet transform ...