Recently, there has been a promising tendency to generalize convolutional neural networks (CNNs) to graph domain. However, most of the methods cannot obtain adequate global information due to their shallow structures. In this paper, we address this challenge by proposing a hierarchical graph ...
Title: Multi-Agent Actor-Critic with Hierarchical Graph Attention Network - arXiv 1909 (前段时间GNN大火的同时,GNN在MARL中的火也一直在烧,由于multiple agents之间天然存在network graph/topology,自然…
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension 论文解读:使用图注意力网络进行多粒度机器阅读理解的文档建模 阅读目的:学习该论文中基于文档结构的多粒度建模。 摘要 “自然问题”是一种具有挑战性的新机器阅读理解基准,它具有两个粒度的答案,即长答案(通常是一个段落...
GRAPH ATTENTION NETWORKS笔记 本文介绍GAT,一个新的在图结构数据上进行操作的神经网络架构。 卷积神经网络已经成功地解决图像分类、语义分割、和机器翻译等问题,在这些问题中,数据都是规则的结构。而很多任务包含不规则的数据,比如社交网络、生物网络等,这样的数据往往以图的方式进行表示。已经有很多人试图扩展神经网络...
Knowledge graph (KG) can provide auxiliary information for recommender system to alleviate the sparsity and cold start problems, while graph convolutional networks (GCN) has recently been established as the state-of-the-art representation learning method. The combination of them is a promising perspect...
In this study, to substantially reinforces the interaction of user opinions while alleviating the negative impact imposed by irrelevant posts, we first represent the conversation thread as an undirected interaction graph. We then present a Claim-guided Hierarchical Graph Attention Network for rumor ...
Graph-structured data has emerged in a broad spectrum of research fields and application domains, such as spam detection [1], event detection [2], traffic flow forecasting [3], social networks [4,5], recommender systems [6], biological networks [7], and financial networks [8,9]. Show ab...
【论文阅读】Learning Effective Road Network Representation with Hierarchical Graph Neural Networks,Hello!ଘ(੭ˊᵕˋ)੭昵称:海轰标签:程序猿|C++选手|学生简介:因C语言结识编程,随后转入计算机专业,获得过国家奖学金
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension 论文解读:使用图注意力网络进行多粒度机器阅读理解的文档建模 阅读目的:学习该论文中基于文档结构的多粒度建模。 摘要 “自然问题”是一种具有挑战性的新机器阅读理解基准,它具有两个粒度的答案,即长答案(通常是一个段落...
Paper tables with annotated results for Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks