24 citations · 24 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 24 cited
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong, Hantao Guo, Yucheng Lin +3
In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations.…
cs.LG2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
Ke Sun, Zhouchen Lin, Hantao Guo +1
The effectiveness of Graph Convolutional Networks (GCNs) has been demonstrated in a wide range of graph-based machine learning tasks. However, the update of parameters in GCNs is o…