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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:

<aside> 🗞️ $\textbf{News}$ ✔️ A paper got accepted at ICCAD 2025. ✔️ A paper got accepted at ICML 2025. ✔️ A paper got accepted at KDD 2024. ****✔️ I received the Best Paper Award at KDD 2024 Workshop on Human-Interpretable AI.

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📜 Selected Publications

Full publication list: Google Scholar

(*: equal contribution)


ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations

Hyunsung Kim, Hoyoung Choi, Sangwoo Seo, Tom Boomstra, Jinsung Yoon, Chanyoung Park

ECML-PKDD 2025 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA) (Oral) - European Conference on Machine Learning and Principles and Practice Knowledge Discovery in Databases

Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction

Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park

ICCAD 2025 - International Conference on Computer-Aided Design

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics

Yunhak Oh*, Junseok Lee*, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park

ICML 2025 - International Conference on Machine Learning [paper]

Capturing functional context of genetic pathways through hyperedge disentanglement

Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

ICLR 2025 Workshop on Machine Learning for Genomics Explorations (MLGenX) - Thirteenth International Conference on Learning Representations [paper]

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)

2020.08 - 2022.08

KAIST (Korea Advanced Institute of Science and Technology)

2014.03 - 2020.08

DGIST (Daegu Gyeongbuk Institute of Science and Technology)

Fellowships and Awards