Improving Graph Attention Networks with Large Margin-based Constraints

Guangtao Wang, Rex Ying, Jing Huang +1

Graph Attention Networks (GATs) are the state-of-the-art neural architecture for representation learning with graphs. GATs learn attention functions that assign weights to nodes so…