11 citations · 12 across the 3 of their papers we have counts for
2 papers
cs.CV2019
Multiple Graph Adversarial Learning
Bo Jiang, Ziyan Zhang, Jin Tang +1
Recently, Graph Convolutional Networks (GCNs) have been widely studied for graph-structured data representation and learning. However, in many real applications, data are coming wi…
cs.CV2018
Graph Learning-Convolutional Networks
Bo Jiang, Ziyan Zhang, Doudou Lin +1
Recently, graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs gene…