UROP Research Mentor Project Submission Portal: Submission #794 | Center for Undergraduate Research and Academic Engagement

Submission information

Submission Number: 794

Submission ID: 14596

Submission UUID: 9ad62593-7857-412a-b9be-eee60270e83c

Submission URI: /urop-research-mentor-project-submission-portal

Submission Update: /urop-research-mentor-project-submission-portal?token=QtPjjPwjSrBJmnkQ3DI14Su7dBY4TPbjUCF0gGQqnIs

Created: Thu, 08/15/2024 - 10:00 AM

Completed: Thu, 08/15/2024 - 10:17 AM

Changed: Wed, 10/09/2024 - 12:04 PM

Remote IP address: 144.174.213.58

Submitted by: Anonymous

Language: English

Is draft: No

Webform: UROP Project Proposal Portal

Submitted to: UROP Research Mentor Project Submission Portal

Research Mentor Information

Primary Research Mentor Name Yushun Dong

Research Mentor Preferred Pronouns he/his/him

When potential research assistants are reaching out via email, what is your preferred honorific? Dr.

Contact Email (FSU Email if affiliated) yd24f@fsu.edu

Position Title Faculty

FSU College (if applicable) Arts and Sciences

FSU Department or Non-FSU Organization Affiliation Department of Computer Science

Headshot (optional)

Additional Research Mentor(s)

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Overall Project Details

Title of the Project Inductive Recommendation on Large-Scale Social Networks

Project Keywords Graph Neural Networks, Social Networks, Recommendation Systems, Scalable Machine Learning, Inductive Learning

Are you currently looking for research assistants? No

Number of Research Assistants Needed 6

Relevant Research Assistant Major(s) Computer Science, Electrical and Computer Engineering, Data Science, Applied Mathematics, Statistics

Project Location: On FSU Main Campus

If the project location is off campus, does the research assistant(s) need to provide their own transportation? No, the project is remote

Please select the choice that most accurately describes your expectations for the research assistant(s): Fully Remote

Approximately how many hours a week would the research assistant(s) need to work? 5 - 10 hours

Roughly what time frame do you expect research assistant(s) to work? Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)

Overall Research Project Description This project aims to develop novel graph learning frameworks to facilitate inductive and scalable recommendations on large-scale social networks. The research focuses on overcoming the limitations of existing Graph Neural Networks (GNNs) by designing a model that can be trained with limited computational costs and easily generalized to unseen social networks without retraining. The proposed framework will leverage both structural and positional encoding to achieve scalable and inductive recommendations, potentially improving the efficiency of recommendation systems on online social network platforms.

Research Tasks (1) Develop a scalable and inductive method for social network recommendation
(2) Design and implement a novel message-passing graph neural network model
(3) Implement and optimize the proposed graph learning framework
(4) Conduct offline evaluations using public and anonymous recommendation datasets
(5) Analyze and compare performance metrics such as NDCG and other industrial recommendation metrics with alternative models

Skills that research assistant(s) may need: (Recommended) Strong programming skills, particularly in Python
(Recommended) Experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
(Recommended) Familiarity with recommendation systems and social network analysis

Mentoring Philosophy As the principal investigator, I believe in fostering a collaborative and supportive research environment. Research assistants will have the opportunity to work closely with me and other team members, including PhD student Yushun Dong. We encourage creative thinking, rigorous analysis, and open communication. Research assistants will be given the opportunity to contribute to cutting-edge research in graph machine learning and recommendation systems, with the potential for co-authorship in research publications. We also value the development of practical skills through collaboration with our industry partners, bringing potential opportunities such as internships.

Please provide a link to your publications, a video clip, or a website for your research project (if applicable): https://scholar.google.com/citations?hl=en&user=_QUhuOMAAAAJ

Please add any additional information here (if applicable): The project builds upon the PI's strong research experience in graph machine learning, with opportunities to work on research paper submissions and research topics that are closely related to the listed one.

Successful candidates will be able to continue working with the research group under a broader scope of collaborations leading to a track record of high-impact publications and industry collaborations.

If you are interested, please visit the site below for a toy research example. Please share your opinions with me to gain priority on working with me by reaching out to yd24f@fsu.edu.

https://yushundong.github.io/files/2024_toy_essay.pdf

Are you interested in participating in the UROP Research Mentor Roundtable? Yes

Roundtable times and Zoom links Thursday, Sept. 5th from 2PM - 2:30PM ET
Zoom link: https://fsu.zoom.us/j/7153751215

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UROP Program Elements

Mentor Handbook, FAQs, and Communication Yes

UROP Performance Evaluation Yes

Materials Grant Yes

UROP Poster Presentation Yes

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Year 2024

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