| Towards Deep Attention in Graph Neural Networks: Problems and Remedies SY Lee, F Bu, J Yoo, K Shin ICML 2023, 2023 | 32 | 2023 |
| 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 | 32 | 2019 |
| 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 | 11 | 2024 |
| 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 | 9 | 2018 |
| 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 | 8 | 2024 |
| 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 | 8 | 2018 |
| HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs S Kim, S Kang, F Bu, SY Lee, J Yoo, K Shin ICLR 2024, 2024 | 6 | 2024 |
| VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation G Lee, SY Lee, K Shin WWW 2024, 2024 | 4* | 2024 |
| 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 | 2 | 2024 |
| Development of an eye-tracking system based on a deep learning model to assess executive function in patients with mental illnesses M Kim, J Lee, SY Lee, M Ha, I Park, J Jang, M Jang, S Park, JS Kwon Scientific Reports 14 (1), 18186, 2024 | 1 | 2024 |
| On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications H Jo, H Hwang, F Bu, SY Lee, C Park, K Shin KDD 2025, 2025 | | 2025 |
| Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy S Kim, SY Lee, F Bu, S Kang, K Kim, J Yoo, K Shin NeurIPS 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 |
Kijung ShinAssociate Professor, KAISTkaist.ac.kr üzerinde doğrulanmış e-posta adresine sahip