Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification

no code implementations • 16 Jun 2021 • Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du

However, data augmentation for graph-based models remains a challenging problem, as graph data is more complex than traditional data, which consists of two features with different properties: graph topology and node attributes.

Classification Data Augmentation +1