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Soo Yong Lee
Soo Yong Lee
KAIST, Ph.D. Student
在 kaist.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
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Gender differences among medical students, house staff, and faculty physicians at high risk for suicide: A HEAR report
S Pospos, I Tal, A Iglewicz, IG Newton, M Tai‐Seale, N Downs, P Jong, ...
Depression and anxiety 36 (10), 902-920, 2019
312019
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
SY Lee, F Bu, J Yoo, K Shin
ICML 2023, 2023
162023
Predictors of reduced smoking quantity among recovering alcohol dependent men in a smoking cessation trial
MJ Worley, M Isgro, JL Heffner, SY Lee, BE Daniel, RM Anthenelli
Addictive behaviors 84, 263-270, 2018
72018
Agreement between self and psychiatrist reporting of suicidal ideation at a Veterans Administration psychiatric emergency clinic
JR McClure, I Tal, CA Macera, M Ji, CM Nievergelt, SY Lee, J Kayman, ...
Depression and anxiety 35 (11), 1114-1121, 2018
62018
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
S Kim, S Kang, F Bu, SY Lee, J Yoo, K Shin
ICLR 2024, 2024
32024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
S Kim*, SY Lee*, Y Gao, A Antelmi, M Polato, K Shin
KDD 2024, 2024
22024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
SY Lee, S Kim, F Bu, J Yoo, J Tang, K Shin
ICML 2024, 2024
12024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
F Bu, H Jo, SY Lee, S Ahn, K Shin
ICML 2024, 2024
2024
VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation
G Lee, SY Lee, K Shin
WWW 2024, 2024
2024
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark
SY Lee*, J Kim*, K Park, DK Ryu, S Shim, K Shin
CIKM 2023, 2023
2023
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