776 citations · 5k across the 72 of their papers we have counts for
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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…
cs.SI2017★ 27 cited
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang +3
Learning distributed node representations in networks has been attracting increasing attention recently due to its effectiveness in a variety of applications. Existing approaches u…