由于graph streaming的研究主要focus 在 降低硬件的压力(内存,显存,计算速度等),而不是focus在网络表示的效果的提升上,因此我们在这里不详细调查它们。要更深入地讨论graph streaming,请感兴趣的读者参阅[3]、[32]、[34]。 ([3] C. Aggarwal and K. Subbian, ‘‘Evolutionary network analysis: A survey,’...
2.5 Dynamic Network Models 在这一部分文章将动态网络模型根据不同特征分类,具体如下图所示: 其中,random graph models根据已知的结构产生随机连接图;Stochastic Actor Oriented Models(SAOM)将每个节点当做actor考虑并对actor的行动建模;Relational Event Models主要用于交互网络,上面两种都是连续时间模型。 Latent space m...
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey 本文首先给出了动态网络的定义和分类,然后分别从编码和解码的角度介绍了图神经网络模型如何用于动态图的嵌入表示以及完成链路预测任务 动态网络 定义 动态网络是随时间变化的复杂网络。链接和节点可能出现和消失。 一个 动态...
2021-Dynamic Neural Networks A Survey - 动态神经网络综述.pdf,1 Dynamic Neural Networks: A Survey Yizeng Han , Gao Huang , Shiji Song, Le Yang, Honghui Wang, and Yulin Wang Abstract—Dynamic neural network is an emerging research topic in deep learning. C
Graph Convolutional Neural Networks for Web-Scale Recommender Systems 摘要 作者们开发了一个数据高效的GCN算法PinSage,该算法联合有效的random walk以及图卷积来生成涵盖图结构和结点特征的嵌入结点。相对于之前的GCN方法,作者提出了高效的random walk方法同时设计了一个新颖的训练策略以提高模型的收敛性和鲁...猜...
标签:Knowledge Graph, Multi Relation, Graph Neural Network 概述:本文关注于真实世界图中边的异质性,例如FB15K-237和WN18包含多种类型的边。现有图神经网络GCN无法建模边的异质性,因此本文提出了R-GCN模型,在信息传递时对于不同类型的边使用不同的权值矩阵,同时考虑到在边比较多的情况下矩阵的数目也较多,因此采...
6 dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning207 link:https://scholar.google.com.hk/scholar_url?url=https://arxiv.org/pdf/1809.02657&hl=zh-TW&sa=X&ei=bSGfYviOJOOEywThnbSYCQ&scisig=AAGBfm0bzwUuDvjnCXStu1Abuajctfd1xw&oi=scholarr ...
Awesome-DynamicGraphLearning Awesome papers (codes) about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs) and their applications (i.e. Recommender Systems). Survey Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunit...
2. Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey 作者: Joakim Skarding, et al. (University of Technology Sydney) 发表时间: 2020.5 发表于: arXiv 标签: 动态图表示,综述,动态图神经网络 概述:
GitHub Link:https://github.com/SpaceLearner/Awesome-DynamicGraphLearning Survey Representation Learning for Dynamic Graphs: A Survey (JMLR, 2020)[paper] A Survey on Embedding Dynamic Graphs (ARXIV, 2021) [paper] Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (ARXIV, ...