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...
We contribute: (i) a comprehensive dynamic network taxonomy, (ii) a survey of dynamic graph neural networks and (iii) an overview of how dynamic graph neural networks can be used for dynamic link prediction. 展开 DOI: 10.1109/ACCESS.2021.3082932 年份: 2020 ...
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
Recently, there has been increasing interest in building graph neural network models for studying the brain connectome (Bessadok et al., 2021; Isallari and Rekik 2021). Viewing each subject as a node, spectral GCN models have been successfully applied to diagnose Alzheimer's disease and autism ...
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...
链接:https://deepai.org/publication/relational-representation-learning-for-dynamic-knowledge-graphs-a-survey Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey 作者:Joakim Skarding, et al. (University of Technology Sydney) ...
To conduct a comparison, we utilized a graph convolutional neural network (GCN) and a dynamic graph to a vector-based model (dyngraph2vec) as baselines15,16. The GCN uses convolutional kernels to capture the spatial information of vertices in the graph. Because GCN is applied to the static...
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:该文侧重于从图神经网络的角度与具体任务的角度去讲述目前动态网络的...
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, ...