Data Mining Lab

DM Lab aims to discover knowledge from various types of graph data (e.g., conventional, signed, text-attributed, and hypergraph) by leveraging data mining and machine learning techniques for solving real-world problems. Our research interests lie in a wide range of topics in data mining and artificial intelligence, including but not limited to Graph Learning, Graph Data Mining using LLMs, and Graph Applications.

We are looking for self-motivated and enthusiastic graduate students and undergraduate research interns. If you are interested in joining our team or have any inquiries, feel free to reach out to us via dyskang {@} cbnu.ac.kr (with a brief introduction of yourself and your CV and transcript).

• 2025.09 | 💻 Our lab started a new research project "Knowledge Extraction Framework for Extended Text-Attributed Graph" (텍스트 속성 기반 확장형 그래프 지식 추출 프레임워크), supported by the National Research Foundation of Korea (NRF) (한국연구재단, 글로컬 R&D). Congratulations!

• 2025.06 | 👨‍🎓 Hojin Kim (김호진) transitioned from undergraduate research intern to our lab’s first graduate student. Congratulations and best wishes!

• 2025.02 | 👨‍🎓 Hojin Kim (김호진), Kwanhak Lee (이관학), and Minhyeok Kim (김민혁) joined our lab as undergraduate research interns. Welcome! 

• 2024.09 | 🚙 DM Lab  started a new journey at  CBNU

• 2024.09 | 👏 Prof. David Yoon Suk Kang Joined the School of Computer Science at CBNU