Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

2.6K
2.6K
Protein Networks02:26

Protein Networks

4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.4K
State Space Representation01:27

State Space Representation

420
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
420
Graphs of Functions01:30

Graphs of Functions

76
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
76
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

16.3K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
16.3K
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.6K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Toxic epidermal necrolysis and acute kidney injury following co-trimoxazole rechallenge and voriconazole accumulation as an exacerbating cofactor: a case report.

Frontiers in toxicologyĀ·2026
Same author

Discovery of N-(6-Acetylpyridin-3-yl)-2-(4-(ethylsulfonyl)phenyl)acetamide derivatives as a novel series of selective RORĪ³t antagonists.

European journal of medicinal chemistryĀ·2026
Same author

Gut commensal Bacteroides-derived pantothenic acid alleviates metabolic syndrome.

Cell host & microbeĀ·2026
Same author

Face-To-Face Vs. Online Behavioral Parent Training for Young Children with ADHD: Child and Parent Outcomes.

Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Ā·2026
Same author

A clinically concordant vulvar cancer patient-derived xenograft model retaining primary molecular signature for preclinical drug sensitivity assessment.

Open medicine (Warsaw, Poland)Ā·2026
Same author

AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)Ā·2026

Related Experiment Video

Updated: Dec 5, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.0K

Context-aware Sampling of Large Networks via Graph Representation Learning.

Zhiguang Zhou, Chen Shi, Xilong Shen

    IEEE Transactions on Visualization and Computer Graphics
    |October 14, 2020
    PubMed
    Summary

    This study introduces a novel graph sampling method to preserve crucial network structures. The approach uses graph representation learning and blue noise sampling for better network abstraction and exploration.

    More Related Videos

    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

    881
    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    5.5K

    Related Experiment Videos

    Last Updated: Dec 5, 2025

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

    1.0K
    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

    881
    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    5.5K

    Area of Science:

    • Computer Science
    • Data Visualization
    • Network Analysis

    Background:

    • Simplifying large-scale networks for visualization is challenging.
    • Existing sampling methods often fail to preserve critical contextual structures.

    Purpose of the Study:

    • To propose a new graph sampling method that preserves contextual structures.
    • To enhance the readability and exploration of large networks.

    Main Methods:

    • Utilizing a graph representation learning (GRL) model to vectorize nodes.
    • Employing a multi-objective blue noise sampling model for node selection.
    • Developing interactive visual interfaces for context-aware sampling.

    Main Results:

    • The proposed method effectively preserves contextual structures, including bridging nodes and connections.
    • It retains relative data and cluster densities in sampled graphs.
    • Case studies confirm the method's effectiveness in network abstraction and exploration.

    Conclusions:

    • The novel graph sampling method significantly improves the preservation of contextual structures.
    • This approach facilitates deeper exploration and more readable visualizations of large networks.