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

Neural Circuits01:25

Neural Circuits

1.0K
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...
1.0K
Classification of Systems-I01:26

Classification of Systems-I

168
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
168
Classification of Systems-II01:31

Classification of Systems-II

133
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
133
Neural Regulation01:37

Neural Regulation

39.1K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.1K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

267
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...
267
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

13.2K
Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
13.2K

You might also read

Related Articles

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

Sort by
Same author

A two-stage deep learning approach for facial emotion recognition in RAVDESS videos.

Scientific reports·2026
Same author

R2KAN-U-Net: A Novel Architecture Integrating Kolmogorov-Arnold Networks with Residual U-Net for Robust Traffic Sign Segmentation.

Sensors (Basel, Switzerland)·2026
Same author

A dataset for human-written and AI-generated code source classification.

Data in brief·2026
Same author

Comprehensive review of machine learning and deep learning techniques for epileptic seizure detection and prediction based on neuroimaging modalities.

Visual computing for industry, biomedicine, and art·2025
Same author

Artificial intelligence for comprehensive DNA methylation analysis: overview, challenges, and future directions.

Briefings in bioinformatics·2025
Same author

3D-WDA-PMorph: Efficient 3D MRI/TRUS Prostate Registration using Transformer-CNN Network and Wavelet-3D-Depthwise-Attention.

Journal of imaging informatics in medicine·2025
Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: May 31, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K

A Novel session-based recommendation system using capsule graph neural network.

Driss El Alaoui1, Jamal Riffi1, Abdelouahed Sabri1

  • 1LISAC Laboratory, Department of Informatics, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, 1796 Fez-Atlas, Fez, 30000, Morocco.

Neural Networks : the Official Journal of the International Neural Network Society
|January 22, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Capsule GraphSAGE for Session-Based Recommendation (CapsGSR), a new model that improves product discovery by better understanding complex user journeys. CapsGSR enhances recommendation accuracy, leading to better customer experiences.

Keywords:
Capsule neural networkDeep learningGraph neural networksRecommender systemsSession-based recommendation

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

379

Related Experiment Videos

Last Updated: May 31, 2025

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
05:19

Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment

Published on: July 7, 2023

2.2K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

379

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Machine Learning

Background:

  • Session-based recommendation systems (SBRS) are crucial for e-commerce, enhancing user experience and sales without relying on historical data.
  • Current SBRS models struggle to capture intricate item transitions within sessions and overlook broader patterns across multiple user sessions.

Purpose of the Study:

  • To propose a novel SBRS model, Capsule GraphSAGE for Session-Based Recommendation (CapsGSR), designed to overcome the limitations of existing algorithms.
  • To enhance the representation of items and the understanding of complex transitions within user sessions.

Main Methods:

  • The proposed CapsGSR model integrates GraphSAGE's inductive learning with Capsules network's multi-perspective abstraction.
  • It generates multiple node representations, capturing complex item transition dynamics and generalizable patterns.

Main Results:

  • CapsGSR significantly outperforms traditional and current SBRS baseline models on benchmark datasets.
  • Demonstrated improvements include an 8.44% increase in Hit Rate@20 (HR@20) and a 4.66% increase in Mean Reciprocal Rank@20 (MRR@20).

Conclusions:

  • CapsGSR effectively addresses the limitations of previous SBRS, offering more precise and relevant item recommendations.
  • The model's ability to capture complex transitions and general patterns leads to superior performance in dynamic recommendation scenarios.