A. Taxonomy of Graph Neural Networks (1)Recurrent Graph Neural Networks:GNN的先驱,其目的是学习具有循环神经结构的节点表示,RecGNN假设图中的一个节点不断地与它的邻居交换信息/消息,直到达到稳定的均衡。 (2)Convolutional Graph Neural Networks:ConvGNN将网格
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition:人体动作识别 Structural-RNN: Deep Learning on Spatio-Temporal Graphs.:驾驶员行为预测 Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting:交通流量预测 图神经网络主要的框架# 节点级# ...
图生成 时空图神经网络(SPATIAL-TEMPORAL GRAPH NEURAL NETWORKS) 该方法是捕捉图的动态性,基于连接节点之间的相互依赖关系这个假设条件,对动态节点输入进行建模。 同时捕获图的空间和时间依赖性,任务是可以预测未来的节点值或标签 数据集的应用和评估 节点分类 大多数方法都遵从基准数据集 cora,citeseer,pubmed,PPI的标...
使用graph来表示对象之间的复杂关系和依赖关系,然而graph数据的复杂已有的机器学习算法很难处理,所以使用深度学习方法来处理。A Comprehensive Survey on Graph Neural Networks论文回顾图神经网络(GNN)在文本挖掘和机器学习领域的发展,将GNN划分为递归图神经网络、卷积图神经网络、图自编码和时空图神经网络四类。此外还讨论...
(2019.8)A Comprehensive Survey on Graph Neural Networks Abstract 近年来,深度学习彻底改变了许多机器学习任务,从图像分类和视频处理到语音识别和自然语言理解。这些任务中的数据通常在欧几里得空间中表示。但是,越来越多的应用程序从非欧几里德域中生成数据,并以具有复杂关系和对象之间相互依赖性的图表示。图数据的复杂...
A Comprehensive Survey on Graph Neural Networks 图神经网络综合研究 Zonghan Wu, Shirui Pan, Member, IEEE, Fengwen Chen, Guodong Long, Chengqi Zhang, Senior Member, IEEE, Philip S. Yu, Fellow, IEEE Abstract&mdas... 查看原文 Network embedding methods based on random work These slices are a ...
Graph neural networks (GNNs)trustworthyprivacyrobustnessGraph neural networks (GNNs) have made rapid developments in the recent years. Due to their great ability in modeling graph-structured data, GNNs are vastly used in various applications, including high-stakes scenarios such as financial analysis, ...
Spatial-Temporal Graph 时空图 eigenvalue decomposition 特征值分解 笔记 INTRODUCTION 引言 We proposea new taxonomy to divide the state-of-the-art graph neuralnetworks into four categories, namely recurrent graph neuralnetworks, convolutional graph neural networks, graph autoen-coders, and spatial-temporal...
人工智能论文- A Comprehensive Survey of Graph Embedding Problems, Techniques and Applications 热度: 神经图推理:复杂逻辑查询回答的综述 Neural Graph Reasoning A Survey on Complex Logical Query Answering 热度: A tutorial on training recurrent neural networks ...
图神经网络论文-A Comprehensive Survey on Graph Neural Networks,目录1、前言:2、Abstract:一、什么是图神经网络二、有哪些图神经网络三、图神经网络的应用3、神经网络常用的缩写5、论文详情笔记5.1什么是图神经网络5.2图嵌入和图神经网络的区别5.3图卷积网络(GCN)