[1710.10903] Graph Attention Networks - arXiv.org
2017年10月30日 · We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers …
[2105.14491] How Attentive are Graph Attention Networks?
2021年5月30日 · 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 …
Graph Attention Networks - OpenReview
2018年2月15日 · Abstract: We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers …
[2109.05922] r-GAT: Relational Graph Attention Network for …
2021年9月13日 · Graph Attention Network (GAT) focuses on modelling simple undirected and single relational graph data only. This limits its ability to deal with more general and complex …
GAT Explained | Papers With Code
A Graph Attention Network (GAT) is a neural network architecture that operates on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior …
Att论文解读|ICLR 2018 《Graph attention networks》图注意力网 …
2024年5月11日 · 我们提出了图注意力网络（GATs），这是一种可在图结构数据上运行的新型 神经网络 架构，它利用掩码自注意力层来解决之前基于图卷积或其近似值的方法的不足之处。 …
Graph Attention - Papers With Code
We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings …
DGL官方教程--图注意力网络（GAT）_dgl gat-CSDN博客
在本教程中，您将学习图注意力网络（GAT）以及如何在 PyTorch 中实现它。 您还可以学习可视化并了解注意力机制所学到的知识。 图卷积网络 （GCN）中描述的研究表明，结合局部 图结 …
图神经网络：GAT学习、理解、入坑_gat的输入是什么-CSDN博客
2022年7月19日 · GAT (Graph Attention Networks)采用Attention机制来学习邻居节点的权重,通过对邻居节点的加权求和来获得节点本身的表达。 给定图
GAT-OPF: Robust and Scalable Topology Analysis in AC Optimal …
4 天之前 · This paper proposes an innovative hybrid framework, GAT-OPF, which, for the first time, combines graph attention networks (GAT) with deep neural networks (DNN) to form the …