49 citations · 139 across the 20 of their papers we have counts for
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cs.LG2020★ 19 cited
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks
Sitao Luan, Mingde Zhao, Chenqing Hua +2
The core operation of current Graph Neural Networks (GNNs) is the aggregation enabled by the graph Laplacian or message passing, which filters the neighborhood node information. Th…
cs.LG2020★ 7 cited
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
Sitao Luan, Mingde Zhao, Xiao-Wen Chang +1
The performance limit of Graph Convolutional Networks (GCNs) and the fact that we cannot stack more of them to increase the performance, which we usually do for other deep learning…