65 citations · 113 across the 4 of their papers we have counts for
4 papers
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
Feng Xia, Lei Wang, Tao Tang +4
Graph Convolutional Networks (GCNs) have achieved impressive performance in a wide variety of areas, attracting considerable attention. The core step of GCNs is the information-pas…
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun, Lei Wang, Bo Xu +3
Network representation learning (NRL) is an effective graph analytics technique and promotes users to deeply understand the hidden characteristics of graph data. It has been succes…
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining
Jiaying Liu, Feng Xia, Lei Wang +4
The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines. This work aims…
MODEL: Motif-based Deep Feature Learning for Link Prediction
Lei Wang, Jing Ren, Bo Xu +3
Link prediction plays an important role in network analysis and applications. Recently, approaches for link prediction have evolved from traditional similarity-based algorithms int…