most citedMulti-scale Graph Convolutional Networks with Self-Attention

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Multi-scale Graph Convolutional Networks with Self-Attention

Zhilong Xiong, Jia Cai

Graph convolutional networks (GCNs) have achieved remarkable learning ability for dealing with various graph structural data recently. In general, deep GCNs do not work well since…

stat.ML2021

SStaGCN: Simplified stacking based graph convolutional networks

Jia Cai, Zhilong Xiong, Shaogao Lv

Graph convolutional network (GCN) is a powerful model studied broadly in various graph structural data learning tasks. However, to mitigate the over-smoothing phenomenon, and deal…