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

Ladder Diagrams: Complexation Equilibria01:07

Ladder Diagrams: Complexation Equilibria

350
Ladder diagrams are useful for evaluating equilibria involving metal-ligand complexes. The vertical scale of the ladder diagram represents the concentration of unreacted or free ligand, pL. The horizontal lines on the scale depict the log of stepwise formation constants for metal-ligand complexes and indicate the dominant species in all the regions.
The formation constant, K1, for the formation of Cd(NH3)2+ complex from cadmium and ammonia is 3.55 × 102. Log K1 (i.e. pNH3) is 2.55, and...
350
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

9.6K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
9.6K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

634
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
634
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

739
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
739
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

3.1K
3.1K
Deductive Reasoning01:16

Deductive Reasoning

55.3K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
55.3K

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

Giant thermal Hall effect in topological magnon insulator Cr<sub>3</sub>Se<sub>4</sub> monolayer.

Materials horizons·2026
Same author

Effects of High-Intensity Interval Training on Cardiopulmonary Function in Patients with Acute Myocardial Infarction with and without Cardiac Arrest: A Retrospective Study.

International journal of general medicine·2026
Same author

Screening Biomarkers Related to Circadian Rhythm of Gastric Cancer Through Bioinformatics.

Applied biochemistry and biotechnology·2026
Same author

Japanese-Language AI Agent System for Human Papillomavirus Vaccine Infoveillance and Public Communication: Development and Feasibility Evaluation.

JMIR infodemiology·2026
Same author

VFLING: Vertical Federated Learning for Multi-Omics Data Integration with Graphs.

Interdisciplinary sciences, computational life sciences·2026
Same author

Deep interpretable radiogenomic workflow deciphers tumor microenvironment from breast MRI and identifies clinician-interpretable biomarkers.

NPJ precision oncology·2026

相关实验视频

Updated: Jun 29, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

LollipopE:在知识图上进行复杂逻辑查询的双中心的lollipop嵌入.

Shiyao Yan1, Changyuan Tian1, Zequn Zhang2

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China.

Neural networks : the official journal of the International Neural Network Society
|April 5, 2024
PubMed
概括
此摘要是机器生成的。

LollipopE通过改进查询嵌入来增强知识图推理. 这种新的几何方法更好地利用嵌入空间,并捕获数据层次结构,以更准确地回答复杂的查询.

关键词:
第一个顺序的逻辑查询.知识推理理性推理知识.多跳跳推理的推理.查询嵌入式查询嵌入式

更多相关视频

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

554
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

相关实验视频

Last Updated: Jun 29, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

554
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

科学领域:

  • 人工智能的人工智能
  • 数据科学数据科学数据科学
  • 计算机科学 计算机科学

背景情况:

  • 复杂的第一阶逻辑 (FOL) 查询对于多跳的知识图 (KG) 推理至关重要.
  • 几何方法为KG查询嵌入 (QE) 提供了一个有希望的方法.
  • 现有的几何QE模型面临挑战,包括未充分利用的嵌入空间,过度依赖角度信息,以及未能捕捉层次结构.

研究的目的:

  • 为了解决当前几何查询嵌入模型中的局限性.
  • 提出一种新的方法,LollipopE,用于改进KG推理.
  • 提高嵌入空间的利用率,并在KG中捕捉层次结构.

主要方法:

  • 推出了LollipopE,一种类似于糖果糖的双中心查询嵌入方法.
  • 采用可学习的中心位置来最大限度地利用嵌入空间.
  • 为答案选择开发了一种结合的角度和以中心点为基础的度量.
  • 整合了动态模块来表示KG内的实体层次结构.

主要成果:

  • LollipopE显著优于现有的最先进的几何方法.
  • 拟议的方法显示了对具有复杂层次结构的数据集的最实质性的改进.
  • LollipopE有效地解决了嵌入空间的不足利用和过度依赖角度指标的问题.

结论:

  • LollipopE为多跳式KG推理提供了对几何查询嵌入的卓越方法.
  • 该方法利用嵌入空间和捕获层次结构的能力,可以提高推理性能.
  • 在知识图中,LollipopE代表了解决复杂查询答案的重大进步.