Doudou Lin

2 accepted papers

2019

Data Representation and Learning With Graph Diffusion-Embedding Networks

CVPR 2019poster

Recently, graph convolutional neural networks have been widely studied for graph-structured data representation and learning. In this paper, we present Graph Diffusion-Embedding networks (GDENs), a new model for graph-structured data representation and learning. GDENs are motivated by our developmen…

Cited by 43 PDF ↗Scholar ↗

2019

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo

CVPR 2019poster

Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed graph which may not be optimal for semi-supervised learning tasks. In this paper, we propose a novel Graph Learn…

Cited by 454 PDF ↗Scholar ↗