19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin +3
Graph Convolutional Network (GCN) with the powerful capacity to explore graph-structural data has gained noticeable success in recent years. Nonetheless, most of the existing GCN-b…
cs.LG2023★ 19 cited
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Shiping Wang, Zhihao Wu, Yuhong Chen +1
Graph convolutional networks (GCNs) have been attracting widespread attentions due to their encouraging performance and powerful generalizations. However, few work provide a genera…