47 citations · 65 across the 8 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…
HEAT: Hyperbolic Embedding of Attributed Networks
David McDonald, Shan He
Finding a low dimensional representation of hierarchical, structured data described by a network remains a challenging problem in the machine learning community. An emerging approa…
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…