Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning

Tiantian He, Haicang Zhou, Yew-Soon Ong +1

Graph attention networks (GATs) are powerful tools for analyzing graph data from various real-world scenarios. To learn representations for downstream tasks, GATs generally attend…