Aligning Users across Social Networks Using Network Embedding

By Li Liu, William Kwok-Wai Cheung, Xin Li, Lejian Liao. 2016

301 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hongwei Wang
2. Fuzheng Zhang
3. Xiao Liu
4. Miao Zhao
5. Yuxiao Dong
6. Minyi Guo
7. Jie Tang
8. Vincent Wenchen Zheng

Citations in the corpus

• A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2017, background): “Both [26] and [18] learn node embedding to align users across different social networks, i.”
• GraphGAN: Graph Representation Learning with Generative Adversarial Nets (2017, background): “2014), text embedding (Tang, Qu, and Mei 2015), and social network analysis (Liu et al. 2016).”
• OAG: Toward Linking Large-scale Heterogeneous Entity Graphs (2019, background): “Recently, network embedding based approaches [9, 17, 18] have been proposed to address the user alignment problem across social networks.”