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
当然也有一些挑战啦 以及打了一篇 Survey 的广告: Dynamic Neural Networks a Survey
DISCRETE DYNAMIC GRAPH NEURAL NETWORKS 离散的动态GNN也是我觉得比较容易理解,也比较容易上手做起来的。 在离散表示情况下(即通过snapshots来存储动态的图数据),DGNN是GNN和深度时序模型的组合。而在连续表示的情况下,我们有更多的变化,因为节点聚合不能再使用传统的gnn完成(需要设计特殊结构的temporal gnn)。根据这种...
We aim to provide a review that demystifies dynamic networks, introduces dynamic graph neural networks (DGNNs) and appeals to researchers with a background in either network science or data science. We contribute: (i) a comprehensive dynamic network taxonomy, (ii) a survey of dynamic graph ...
Survey Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities (ARXIV, 2023) [paper] Graph Neural Networks Designed for Different Graph Types: A Survey (ARXIV, 2022) [paper] Representation Learning for Dynamic Graphs: A Survey (JMLR, 2020) [paper] ...
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) ...
Diagnosis performance can be formulated by a confusion matrix, where it has two valuable indicators. Show abstract Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives 2024, IEEE Transactions on Neural Networks and Learning Systems A survey of transfer ...
We survey learning algorithms for recurrent neural networks with hidden units and attempt to put the various techniques into a common framework. We discuss fixpoint learning algorithms, namely recurrent backpropagation and deterministic Boltzmann Machines, and non-fixpoint algorithms, namely backpropagation...
本篇文章主要概括了关于动态图最新研究(2020)的survey:Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey. 本文的目录如下: 1 Introduction 2 Dynamic Networks 2.1 Dynamic Network Representations 2.2 Link Duration Spectrum ...
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...