Soo Yong Lee
Scholar

Soo Yong Lee

Google Scholar ID: U3vZd0kAAAAJ
KAIST, Ph.D. Student
Graph Neural NetworksPsychopathologyCausalityMechanistic Interpretability
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
214
 
H-index
8
 
i10-index
7
 
Publications
16
 
Co-authors
12
list available
Contact
GitHubOpen ↗LinkedInOpen ↗
Publications
4 items
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
2025
Cited
0
'Hello, World!': Making GNNs Talk with LLMs
2025
Cited
0
Emergence of psychopathological computations in large language models
2025
Cited
0
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
2025
Cited
0
Resume (English only)
Research Experience
  • Ph.D. student at DMLab, KAIST, working in the field of AI.
Background
  • Broadly interested in studying complex systems, such as the human mind and networks. Research aims to find clues to how they arise, predict, and control them.
Miscellany
  • Contact: syleetolow@kaist.edu
  • Github: [link]
  • Linkedin: [link]
  • Google Scholar: [link]
Co-authors
12 total
Kijung Shin
Kijung Shin
Associate Professor, KAIST
Fanchen Bu
Fanchen Bu
Ph.D. Student, KAIST
Jaemin Yoo
Jaemin Yoo
Assistant Professor, KAIST
Sunwoo Kim
Sunwoo Kim
Ph.D Student at KAIST AI
Co-author 5
Co-author 5
Alessia Antelmi
Alessia Antelmi
University of Turin
Yue Gao
Yue Gao
Tsinghua University
Jiliang Tang
Jiliang Tang
University Foundation Professor of Computer Science and Engineering, Michigan State University