24 citations · 45 across the 9 of their papers we have counts for
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cs.SI2023
Node-wise Diffusion for Scalable Graph Learning
Keke Huang, Jing Tang, Juncheng Liu +2
Graph Neural Networks (GNNs) have shown superior performance for semi-supervised learning of numerous web applications, such as classification on web services and pages, analysis o…
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…