Liang Zeng

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange

2023

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 highly redundant, which inevitably limits the performance of …