623 citations · 961 across the 7 of their papers we have counts for
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cs.SI2020
Learning Node Representations from Noisy Graph Structures
Junshan Wang, Ziyao Li, Qingqing Long +3
Learning low-dimensional representations on graphs has proved to be effective in various downstream tasks. However, noises prevail in real-world networks, which compromise networks…
cs.LG2020
Graph Structural-topic Neural Network
Qingqing Long, Yilun Jin, Guojie Song +2
Graph Convolutional Networks (GCNs) achieved tremendous success by effectively gathering local features for nodes. However, commonly do GCNs focus more on node features but less on…