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. Compared to static models which have fixed computational graphs and parameters at the inference stag...
Subbian, ‘‘Evolutionary network analysis: A survey,’’ Comput. Surv., vol. 47, no. 1, p. 10, Jul. 2014. J. Zhang, ‘‘A survey on streaming algorithms for massive graphs,’’ in Managing and Mining Graph Data. Boston, MA, USA: Springer, 2010,pp. 393–420. A. McGregor, ...
在这些方法里有一个特殊的动态参数调整方法,即 DCN (Deformable Convolution Network),相比调整参数,这个是变换参数位置～ Spatial-wise 人在看图像时,通常花费在不同区域的计算(记忆)是不一样的,但对于常用的卷积网络,它在空间上计算是没有区别的,毕竟都是同一个卷积核一个个扫过去。因此希望神经网路能够在不...
The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case StudyUterine EMG signalsDynamic neural networkFeatures extractionVarious recurrent neural networks have been utilised for medical data analysis and classifications. In this paper, the ability of using dynamic neural...
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 ...
is a variable resistor with memory. It is most widely used as the emulator of biological synapse and is often integrated into a crossbar array as the neuromorph of the full synaptic connections between two neuron layers in a layered neural network10. Heavily influenced by the classical DL prac...
As such, our analyses going forward focus on clustering solutions containing 2–8 dynamic states to provide a broad survey of the solution space. In the present data, these solutions captured significant aspects of dynamic variation in network connectivity. However, the focus on 2–8 brain states...
In this paper, we propose a new differential privacy scheme base on the Recurrent Neural Network for Dynamic trajectory privacy Protection (RNN-DP). We firstly introduce a recurrent neural network model to handle the real-time data effectively instead of the full data. Secondly, we novelty ...
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 ...
A Survey on Embedding Dynamic Graphs (ARXIV, 2021) [paper] Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey (ARXIV, 2019)[paper] Papers 2021 Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (ICLR, 2021) [paper][code] Subset Node Represen...