32 citations · 157 across the 44 of their papers we have counts for
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cs.LG2021★ 2 cited
SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang, Yuehao Wang, Hua Lin +1
Graph Convolutional Networks (GCN) with multi-hop aggregation is more expressive than one-hop GCN but suffers from higher model complexity. Finding the shortest aggregation range t…
cs.LG2021★ 2 cited
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Tianlong Chen, Kaixiong Zhou, Keyu Duan +4
Training deep graph neural networks (GNNs) is notoriously hard. Besides the standard plights in training deep architectures such as vanishing gradients and overfitting, it also uni…