24 citations · 28 across the 5 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.SI2018★ 3 cited
A Structural Representation Learning for Multi-relational Networks
Xin Li, Huiting Hong, Lin Liu +1
Most of the existing multi-relational network embedding methods, e.g., TransE, are formulated to preserve pair-wise connectivity structures in the networks. With the observations t…
cs.LG2018★ 1 cited
GANE: A Generative Adversarial Network Embedding
Huiting Hong, Xin Li, Mingzhong Wang
Network embedding has become a hot research topic recently which can provide low-dimensional feature representations for many machine learning applications. Current work focuses on…