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

Ogive Graph01:07

Ogive Graph

6.0K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.0K
Multiple Bar Graph01:07

Multiple Bar Graph

8.2K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.2K
Optimal Foraging00:48

Optimal Foraging

12.5K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.5K
Bar Graph01:07

Bar Graph

20.2K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
20.2K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

3.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
3.9K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.5K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.5K

You might also read

Related Articles

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

Sort by
Same author

nanoASM: Long-Read Allele-Specific DNA Methylation Profiling Enables Functional Annotation of Regulatory Noncoding Variants in Human Prostate Tissues.

bioRxiv : the preprint server for biology·2026
Same author

Acute and sub-acute toxicity assessment of tetrodotoxin in Sprague-Dawley rats following intramuscular injection.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Organic Chemistry as a Catalyst for AI Innovation: Challenges, Methods, and Emerging Paradigms.

Chemical reviews·2026
Same author

Advances in research and application of therapeutic antibody strategies for porcine rotavirus prevention and control.

Vaccine·2026
Same author

Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network.

Accident; analysis and prevention·2026
Same author

Celastrol induces ferroptosis in ccRCC through TEF-Driven ACOX2 upregulation and metabolic reprogramming.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026

Related Experiment Video

Updated: Oct 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

653

Recipe Recommendation With Hierarchical Graph Attention Network.

Yijun Tian1, Chuxu Zhang2, Ronald Metoyer1

  • 1Department of Computer Science and Engineering and Lucy Family Institute for Data and Society, University of Notre Dame, Notre Dame, IN, United States.

Frontiers in Big Data
|January 31, 2022
PubMed
Summary

This study introduces HGAT, a novel hierarchical graph attention network for recipe recommendation. HGAT effectively utilizes relational information to improve recipe suggestions, outperforming existing methods.

Keywords:
foodgraph attention networkrecipe graphrecipe recommendationuser behavior modeling

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K
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

4.3K

Related Experiment Videos

Last Updated: Oct 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

653
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.4K
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

4.3K

Area of Science:

  • Artificial Intelligence
  • Computer Science
  • Data Science

Background:

  • Recipe recommendation systems are crucial for personalized meal suggestions.
  • Existing methods often overlook the rich relational data between users, recipes, and ingredients.
  • There is a need for advanced approaches to leverage this interconnected information.

Purpose of the Study:

  • To propose a novel graph learning approach for recipe recommendation.
  • To introduce HGAT (Hierarchical Graph Attention Network) to capture complex relationships.
  • To enhance recipe recommendation by integrating user behavior, recipe content, and item relations.

Main Methods:

  • Developed HGAT, a hierarchical graph attention network.
  • Employed neural network modules for type-specific transformation, node-level attention, and relation-level attention.
  • Utilized a ranking-based objective function for model optimization.

Main Results:

  • HGAT effectively captures user history, recipe content, and relational information.
  • The proposed model demonstrated superior performance compared to various baseline methods.
  • Experiments confirmed the efficacy of the graph learning approach in recipe recommendation.

Conclusions:

  • HGAT offers a significant advancement in recipe recommendation systems.
  • Leveraging relational information through graph learning is a promising direction.
  • The model provides more accurate and relevant recipe suggestions.