Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification

no code implementations • 6 Apr 2019 • Lu Bail, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock

In this paper, we develop a novel Backtrackless Aligned-Spatial Graph Convolutional Network (BASGCN) model to learn effective features for graph classification.

General Classification Graph Classification