15 citations · 29 across the 4 of their papers we have counts for
4 papers
Multi-level Attention-guided Graph Neural Network for Image Restoration
Jiatao Jiang, Zhen Cui, Chunyan Xu +1
In recent years, deep learning has achieved remarkable success in the field of image restoration. However, most convolutional neural network-based methods typically focus on a sing…
Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu +1
Learning representation on graph plays a crucial role in numerous tasks of pattern recognition. Different from grid-shaped images/videos, on which local convolution kernels can be…
When Work Matters: Transforming Classical Network Structures to Graph CNN
Wenting Zhao, Chunyan Xu, Zhen Cui +4
Numerous pattern recognition applications can be formed as learning from graph-structured data, including social network, protein-interaction network, the world wide web data, know…
Walk-Steered Convolution for Graph Classification
Jiatao Jiang, Chunyan Xu, Zhen Cui +3
Graph classification is a fundamental but challenging issue for numerous real-world applications. Despite recent great progress in image/video classification, convolutional neural…