47 citations · 113 across the 11 of their papers we have counts for
5 papers · 1 filter
Robust Dynamic Network Embedding via Ensembles
Chengbin Hou, Guoji Fu, Peng Yang +3
Dynamic Network Embedding (DNE) has recently attracted considerable attention due to the advantage of network embedding in various fields and the dynamic nature of many real-world…
GloDyNE: Global Topology Preserving Dynamic Network Embedding
Chengbin Hou, Han Zhang, Shan He +1
Learning low-dimensional topological representation of a network in dynamic environments is attracting much attention due to the time-evolving nature of many real-world networks. T…
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Chengbin Hou, Han Zhang, Ke Tang +1
Learning topological representation of a network in dynamic environments has recently attracted considerable attention due to the time-evolving nature of many real-world networks i…
Learning Topological Representation for Networks via Hierarchical Sampling
Guoji Fu, Chengbin Hou, Xin Yao
The topological information is essential for studying the relationship between nodes in a network. Recently, Network Representation Learning (NRL), which projects a network into a…
Attributed Network Embedding for Incomplete Attributed Networks
Chengbin Hou, Shan He, Ke Tang
Attributed networks are ubiquitous since a network often comes with auxiliary attribute information e.g. a social network with user profiles. Attributed Network Embedding (ANE) has…