Multi-scale Graph Convolutional Networks with Self-Attention

no code implementations • 4 Dec 2021 • Zhilong Xiong, Jia Cai

Graph convolutional networks (GCNs) have achieved remarkable learning ability for dealing with various graph structural data recently.

Computational Efficiency Graph Classification +1

SStaGCN: Simplified stacking based graph convolutional networks

no code implementations • 16 Nov 2021 • Jia Cai, Zhilong Xiong, Shaogao Lv

Graph convolutional network (GCN) is a powerful model studied broadly in various graph structural data learning tasks.