我们将展示GNN框架如何适应这些设置,从而产生一种新的基于图的神经网络模型,我们称之为门控图序列神经网络(Gated Graph Sequence Neural Networks ,GGS-NNs)。 我们在bAbI任务的实验(Weston等人,2015)和图算法学习任务中说明了这个通用模型的各个方面,这些任务说明了模型的能力。然后我们提出一个应用程序来验证计算机程...
链接:《Gated Graph Sequence Neural Networks》 Introduction 图结构数据在实际生活中往往很常见,在化学、自然语言处理、社交网络、知识库等应用中,都存在大量的图结构数据。这些应用主要可以分为两大类:一类是graph-focused,另一类则是node-focused。Graph-focused应用往往关注整个图上的信息,这一类应用有化学组成研究、...
and Monfardini, Gabriele.The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61–80, 2009.】这篇论文的基础上进行了改进,包括:(1)gated recurrent units 、(2)modern optimization techniques 、(3) extend to output sequences。
论文阅读:Sequence to Sequence Learning with Neural Networks 一、Abstract 先提DNN的缺点:不能用于将序列映射到序列。 于是这篇论文以机器翻译为例,首先通过一个多层的LSTM将输入的语言序列(源序列)转化为特定维度的向量,然后另一个深层LSTM将此向量解码成相应的另一语言序列(目标序列)。 网上的一种理解:假设要将...
在开始之前,我们先来了解一下Gated Graph Sequence Neural Networks的基本原理和流程。下表中展示了实现该模型的主要步骤: 下面,我们将逐步完成这些步骤。 步骤1:构建图结构 首先,我们需要构建图结构。图由节点和边组成,节点表示数据的实体,边表示节点之间的关系。我们可以使用工具库(例如NetworkX)创建图结构。
Gated Graph Sequence Neural Networks 使用了两个GG-NNs,分别为Fo(k)和FX(k)。其中Fo(k)用于预测X(k)的输出o(k),FX(k)通过X(k)预测X(k+1),如下图所示: GGS-NN 其公式为: 其中,中间的node annotationsX(k)可以人为指定,也可以作为参数完全由网络学习。
This paper investigates gated graph sequence neural networks (GGNNs) for the next activity prediction. First results with two real-life event logs show that GGNNs can outperform traditional DNNs regarding predictive quality, especially if nodes of an input graph are assumed as events, and the ...
Gated Graph Sequence Neural Networks Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph Neu...
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work
Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 16 Commits babi_data images utils LICENSE README.md main.py model.py README MIT license This is a PyTorch implementation of the Gated Graph Sequence Neural Networks (GGNN) as described ...