Node classification, Class imbalance, Graph Neural Network, Data augmentation
Image denoising, Transformer, Large receptive field, feature fusion
Image denoising, Feature representation learning, spatial-channel decoupling, Selective attention fusion, Multi-level feature constraints
Recommendation systems, Contrastive learning, Data augmentation, Embedding Enhancement
Image denoising, Channel attention, Cross information interaction, Hierarchy window
Object Detection, Regions of Interest (RoIs), Adaptive Nested Sampling, Feature Learning
Multi-view clustering, Remote Sensing, Graph Neural Networks, Graph Representation Learning
