24 citations · 45 across the 9 of their papers we have counts for
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cs.LG2020
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification
Juncheng Liu, Yiwei Wang, Bryan Hooi +2
Node classification on graphs is an important task in many practical domains. It usually requires labels for training, which can be difficult or expensive to obtain in practice. Gi…
cs.SI2020★ 24 cited
PANE: scalable and effective attributed network embedding
Renchi Yang, Jieming Shi, Xiaokui Xiao +3
Given a graph G where each node is associated with a set of attributes, attributed network embedding (ANE) maps each node v in G to a compact vector Xv, which can be used in downst…