DualGCN
Dual Graph Convolutional Networks
A dual graph convolutional neural network jointly considers the two essential assumptions of semi-supervised learning: (1) local consistency and (2) global consistency. Accordingly, two convolutional neural networks are devised to embed the local-consistency-based and global-consistency-based knowledge, respectively.

Description  and image from: [Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification](https://persagen.com/files/misc/zhuang2018dual.pdf)