Ph.D. Candidate at KAIST
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✨ Welcome to my personal page! My name is Hyunjin Hwang, and I am currently pursuing a Ph.D. in Artificial Intelligence at the Korea Advanced Institute of Science and Technology (KAIST). I am a member of the Data Mining Lab. My research focuses on Graph Neural Networks (GNN), an exciting and rapidly evolving area within AI.
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🌈 About Me
Research Interests
- Graph Neural Networks (GNN)
- Machine Learning
- Deep Learning
- Data Mining
Academic Background
- Ph.D. in Artificial Intelligence (ongoing) KAIST, South Korea
- M.S. in Electrical Engineering KAIST, South Korea
- B.S. in Electrical Engineering KAIST, South Korea
Research Experience
- Data Mining Lab, KAIST. Conducted research on GNN applications in various domains such as social networks, biological data, and recommendation systems.
Publications
- On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications, Hyeonsoo Jo, Hyunjin Hwang*, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin, KDD 2025 (Acceptance Rate ≈19%)
- Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction, Taehyung Yu, Soo Yong Lee, Hyunjin Hwang, and Kijung Shin, HDM-ICDM 2024
- AHP: Learning to Negative Sample for Hyperedge Prediction, Hyunjin Hwang*, Seungwoo Lee*, Chanyoung Park, and Kijung Shin, ACM SIGIR 2022 (Short Paper) (Acceptance Rate ≈ 25%)