TL;DR该研究介绍了 Graph Attention Networks (GATs) 架构,它们被认为是最先进的图形表示学习架构之一,但存在限制性静态注意力机制,限制了它们在表达简单图形问题方面的能力;因此,提出了一种动态图形注意力变量 GATv2,相对于 GAT 更具表现力。
Abstract
graph attention networks (gats) are one of the most popular GNN architectures
and are considered as the state-of-the-art architecture for representation
learning with graphs. In GAT, every node attends to its nei