21 citations · 27 across the 5 of their papers we have counts for
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cs.LG2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu, Mingjian Chen, Jianqiang Huang +5
Graph Neural Networks (GNNs) have become increasingly popular and achieved impressive results in many graph-based applications. However, extensive manual work and domain knowledge…
cs.LG2021★ 1 cited
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange
Liang Zeng, Jin Xu, Zijun Yao +2
Graph Neural Networks (GNNs) have already been widely used in various graph mining tasks. However, recent works reveal that the learned weights (channels) in well-trained GNNs are…