45 citations · 73 across the 10 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.SI2018★ 4 cited
SINE: Scalable Incomplete Network Embedding
Daokun Zhang, Jie Yin, Xingquan Zhu +1
Attributed network embedding aims to learn low-dimensional vector representations for nodes in a network, where each node contains rich attributes/features describing node content.…
cs.SI2018★ 2 cited
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding
Daokun Zhang, Jie Yin, Xingquan Zhu +1
Network embedding in heterogeneous information networks (HINs) is a challenging task, due to complications of different node types and rich relationships between nodes. As a result…
cs.SI2018★ 45 cited
Network Representation Learning: A Survey
Daokun Zhang, Jie Yin, Xingquan Zhu +1
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as soc…