Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Nonconscious Mimicry

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

You might also read

Related Articles

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

Sort by

Same author

From chaos to order: cross-kingdom coordination buffers microbial communities against typhoon impacts.

BMC microbiology·2026

Same author

Light-driven intracellular and extracellular polymer dynamics regulate colony morphology and buoyancy in Microcystis.

Environmental pollution (Barking, Essex : 1987)·2026

Same author

Spatiotemporal Dynamics and Assembly Mechanisms of Bacterial Communities in Tropical-Subtropical Coastal Waters of the Leizhou Peninsula, China.

Microorganisms·2026

Same author

Breakdown Strength Enhancement and Space Charge Suppression of Low-density Polyethylene by Adding Fluorinated Graphene.

Langmuir : the ACS journal of surfaces and colloids·2026

Same author

Discovery of Mg<sub>3</sub>Zn<sub>2</sub> Intermetallic Phase in the Mg-Zn System Enabled by Neuroevolution Potentials.

Inorganic chemistry·2026

Same author

From clicks to contributions: how environmental identity and impression management shape university students' organizational citizenship behavior for the environment.

Frontiers in psychology·2026

Search research articles

Related Experiment Video

Updated: Oct 23, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.

Pengfei Jiao, Qiang Tian, Wang Zhang

IEEE Transactions on Cybernetics

|August 18, 2021

Summary

This study introduces RDAA, a novel deep learning framework for network embedding (NE). RDAA enhances role discovery and structural similarity by effectively modeling node features and dependencies, outperforming existing methods.

More Related Videos

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Oct 23, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Area of Science:

Computer Science
Network Science
Artificial Intelligence

Background:

Network embedding (NE) primarily focuses on network similarity, neglecting role discovery and structural similarity.
Existing NE models for role discovery have limitations in modeling node dependencies and capturing effective node features.

Purpose of the Study:

To propose a unified deep learning framework, RDAA, for effective network embedding focused on role discovery and structural similarity.
To address limitations of current NE methods in capturing varying node dependencies and essential node features.

Main Methods:

Developed RDAA, a unified deep learning framework integrating a deep autoencoder for node feature representation and an Attention mechanism for local link modeling.
Employed an elaborately binding technique to unify and optimize the framework.

Main Results:

RDAA demonstrated superior performance across visualization, role classification, and role discovery tasks compared to popular NE methods.
The framework effectively models node features and local links, benefiting role discovery and structural similarity.

Conclusions:

RDAA offers a significant advancement in network embedding for role discovery and structural similarity.
The proposed framework achieves better performance and good tradeoffs on various datasets.