25 citations · 29 across the 6 of their papers we have counts for
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cs.SI2020
OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu, Feng Xia, Jin Xu +2
Aiming at better representing multivariate relationships, this paper investigates a motif dimensional framework for higher-order graph learning. The graph learning effectiveness ca…
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★ 25 cited
Prediction Methods and Applications in the Science of Science: A Survey
Jie Hou, Hanxiao Pan, Teng Guo +3
Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available s…