CONTACT

📩 [email protected]

🗺️ Daejeon, South Korea

SOCIALS

👋🏼 Welcome to my website! Feel free to explore and connect !

I’m Sangwoo Seo, a Ph.D. student in the Industrial and Systems Department at KAIST, where I am fortunate to be advised by Prof. Chanyoung Park. I’m actively on research with my best colleagues at Data Science and Artificial Intelligence Lab.

CV_Sangwoo.pdf

👀 Research Interests

I am focused on building AI systems for graph-structured data and applying GNN to various applications. I am particularly interested in:

• Explainable AI
• Interpretability in GNN
• Circuit GNN

<aside> 🗞️ $\textbf{News}$ ✔️ A paper got accepted at KDD 2024. ✔️ I received the Best Paper Award at KDD 2024 Workshop on Human-Interpretable AI. ✔️ A paper got accepted at ICML 2024. ****✔️ A paper got accepted at NeurIPS 2024.

</aside>

📜 Selected Publications

Full publication list: Google Scholar

(*: equal contribution)

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park

KDD 2024 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining [paper]

Interpretable Graph Model with Prototype-Based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park

KDD 2024 Workshop on Human-Interpretable AI (Oral)(Best Paper Award)- ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

ICML 2024 - International Conference on Machine Learning [paper][code]

Interpretable Prototype‑based Graph Information Bottleneck

Sangwoo Seo, Sungwon Kim, Chanyoung Park

NeurIPS 2023 (Gold Prize at the 30th Samsung Humantech Paper Award) - Thirty-seventh Conference on Neural Information Processing Systems [paper]

Explanation‑based Graph Neural Networks for Graph Classification

Sangwoo Seo, Seungjun Jung, Changick Kim

ICPR 2022 - International Conference on Pattern Recognition

EDUCATION

2022.08 -

KAIST (Korea Advanced Institute of Science and Technology)

• Ph.D. in Industrial and Systems Engineering
  • Research Interest: Graph Neural Networks
  • Advisor: Prof. Chanyoung Park

2020.08 - 2022.08

KAIST (Korea Advanced Institute of Science and Technology)

• M.S. in Electrical Engineering
  • Research Interest: Graph Neural Networks
  • Advisor: Prof. Changick Kim

2014.03 - 2020.08

DGIST (Daegu Gyeongbuk Institute of Science and Technology)

• B.S. in School of Undergraduate Studies
  • Major: Electrical engineering

Fellowships and Awards

2024.08

Best Paper Award at KDD 2024 Workshop on Human‑Interpretable AI

• Barcelona, Spain

2024.08

KDD 2024 Student Travel Award

• Barcelona, Spain

2024.02

Gold Prize at the 30th Samsung Humantech Paper Award

• 1st prize in Computer Science Division (KRW 20M)