65 citations · 76 across the 4 of their papers we have counts for
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cs.SI2021
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…
cs.SI2020★ 1 cited
DINE: A Framework for Deep Incomplete Network Embedding
Ke Hou, Jiaying Liu, Yin Peng +3
Network representation learning (NRL) plays a vital role in a variety of tasks such as node classification and link prediction. It aims to learn low-dimensional vector representati…
cs.SI2020★ 65 cited
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…