68 citations · 71 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 3 cited
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao +2
This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It aims to leverage the label information in…
cs.LG2019
Adversarial Training Methods for Network Embedding
Quanyu Dai, Xiao Shen, Liang Zhang +2
Network Embedding is the task of learning continuous node representations for networks, which has been shown effective in a variety of tasks such as link prediction and node classi…
cs.LG2017★ 68 cited
Adversarial Network Embedding
Quanyu Dai, Qiang Li, Jian Tang +1
Learning low-dimensional representations of networks has proved effective in a variety of tasks such as node classification, link prediction and network visualization. Existing met…