Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Time-Series Graph00:54

Time-Series Graph

3.8K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
3.8K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

1.5K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Fibular flap mandibular reconstruction for third-stage medication-related osteonecrosis of the jaw: A retrospective single-center study.

Journal of dental sciences·2023
Same author

Integrated IBD Analysis, GWAS Analysis and Transcriptome Analysis to Identify the Candidate Genes for White Spot Disease in Maize.

International journal of molecular sciences·2023
Same author

Nutritional status efficacy of early nutritional support in gastrointestinal care: A systematic review and meta-analysis.

World journal of gastrointestinal surgery·2023
Same author

Unraveling the complexities of beryllium contamination in agricultural soils: The case of Qingcheng District, Qingyuan City.

Ecotoxicology and environmental safety·2023
Same author

Current and emerging applications of liquid biopsy in pan-cancer.

Translational oncology·2023
Same author

Augmented temperature fluctuation aggravates muscular atrophy through the gut microbiota.

Nature communications·2023
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 5, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.9K

通过个性化PageRank有效的时间图表学习.

Ziyu Liao1, Tao Liu1, Yue He1

  • 1College of Computer and Information Science, Southwest University, Chongqing 400715, China.

Entropy (Basel, Switzerland)
|July 26, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的时间图表表示学习模型,使用时间受约束的个性化PageRank (TPPR) 矩阵因子化. 这种方法显著提高了动态网络的嵌入质量,在关键图形学习任务上优于现有方法.

关键词:
动态图表表示的动态图表表示.链接预测 链接预测矩阵分解因子化节点的分类 节点的分类有时间限制的个性化PageRank.

更多相关视频

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.9K

相关实验视频

Last Updated: May 5, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

9.9K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

14.9K

科学领域:

  • 图形表示学习学习学习图形表示.
  • 网络科学 网络科学
  • 机器学习 机器学习

背景情况:

  • 传统的图形表示学习方法经常与动态的大规模网络相斗争.
  • 现有的相似度矩阵因子化技术主要是为静态图设计的,这限制了它们在捕捉不断变化的关系方面的有效性.
  • 在线互动的快速增长需要先进的方法来分析时间图.

研究的目的:

  • 开发一个增强的时间图表表示学习模型,以提高嵌入质量.
  • 利用时间受约束的个性化PageRank (TPPR) 在动态图中更好地表示节点相似性.
  • 在时间图数据集上的各种下游任务中验证拟议模型的有效性.

主要方法:

  • 提出了一个基于时间受约束的个性化PageRank (TPPR) 矩阵的矩阵因数分解的时间图表表示学习模型.
  • 使用单值分解 (SVD) 或非负矩阵分解 (NMF) 来分解TPPR矩阵.
  • 评估了使用多个时间图的链接预测,节点分类和节点聚类任务的模型.

主要成果:

  • 拟议的TPPR矩阵因子化方法在多个时间图数据集上的现有技术相比取得了更高的性能.
  • 在时间图学习任务的嵌入质量方面取得了显著的改进.
  • 在动态网络中有效捕获节点相似性,从而提高预测和分类准确性.

结论:

  • 基于TPPR矩阵分解的图表表示学习算法为分析时间图提供了一种强大的方法.
  • 该方法在动态网络分析中为不完整的相似性描述和低嵌入质量提供了强大的解决方案.
  • 这些发现突显了拟议模型对现实世界的时间网络应用程序的有效性和可扩展性.