Education
Korea Advanced Institute of Science and Technology (KAIST) Sep. 2020 - Present (Seoul, South Korea)
M.S. & Ph.D. in Artificial Intelligence
Sungkyunkwan University (SKKU) Mar. 2016 - Aug. 2019 (Suwon, South Korea)
B.S. in Computer Science and Engineering
Work Experience
NEC Labs America May 2023 - Aug. 2023 (Princeton, USA)
Research Intern
Amazon Sep. 2022 - Dec. 2022 (San Francisco, USA)
Applied Scientist Intern
Publications
[P1] A Survey on Hypergraph Mining: Patterns, Tools, and Generators
- Geon Lee*, Fanchen Bu*, Tina Eliassi-Rad, and Kijung Shin
- arXiv (2024)
- pdf
[J6] Representative and Back-in-Time Sampling from Real-World Hypergraphs
- Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, and Kijung Shin
- Transaction on Knowledge Discovery from Data (TKDD) (2024)
- pdf |
shorter ver. |
code
[C9] VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation
- Geon Lee, Soo Yong Lee, and Kijung Shin
- The Web Conference (WWW), 2024
- pdf |
code
[T2] Mining of Real-World Hypergraphs: Patterns, Tools, and Generators
- Geon Lee, Jaemin Yoo, and Kijung Shin
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
- The Web Conference (WWW), 2023
- website |
video |
proposal |
survey
[J5] Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection
- Jaewan Chun, Geon Lee, Kijung Shin, and Jinhong Jung
- Data Mining and Knowledge Discovery (DMKD) (2023)
- pdf |
slides |
code
[J4] Hypergraph Motifs and Their Extensions Beyond Binary
- Geon Lee*, Seokbum Yoon*, Jihoon Ko, Hyunju Kim, and Kijung Shin
- The VLDB Journal (2023)
- pdf |
shorter ver. |
code
[J3] Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
- Fanchen Bu, Geon Lee, and Kijung Shin
- Data Mining and Knowledge Discovery (DMKD) (2023)
- pdf |
slides |
code
[J2] Temporal Hypergraph Motifs
- Geon Lee and Kijung Shin
- Knowledge and Information Systems (KAIS) (2023)
- pdf |
shorter ver. |
code
[T1] Mining of Real-World Hypergraphs: Patterns, Tools, and Generators
- Geon Lee, Jaemin Yoo, and Kijung Shin
- IEEE International Conference on Data Mining (ICDM), 2022
- ACM International Conference on Information and Knowledge Management (CIKM), 2022
- website |
video |
proposal |
survey
[C8] Set2Box: Similarity Preserving Representation Learning for Sets
- Geon Lee, Chanyoung Park, and Kijung Shin
- IEEE International Conference on Data Mining (ICDM), 2022
- pdf |
longer ver. |
slides |
code
[C7] HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
- Geon Lee, Minyoung Choe, and Kijung Shin
- International Joint Conference on Artificial Intelligence (IJCAI), 2022
- pdf |
appendix |
slides |
code
[C6] MiDaS: Representative Sampling from Real-World Hypergraphs
- Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, and Kijung Shin
- The Web Conference (WWW), 2022
- pdf |
appendix |
longer ver. |
slides |
code
[J1/W1] Simple Epidemic Models with Segmentation Can Be Better than Complex Ones
- Geon Lee, Se-eun Yoon, and Kijung Shin
- PLOS ONE (2022)
- International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK@KDD) (2021)
- pdf |
appendix |
slides |
code
[C5] THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
- Geon Lee and Kijung Shin
- IEEE International Conference on Data Mining (ICDM), 2021
- pdf |
longer ver. |
slides |
code
- Selected as one of the best-ranked papers of ICDM 2021
[C4] How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators
[C3] Hypergraph Motifs: Concepts, Algorithms, and Discoveries
[C2] MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs
- Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry Drake, Qingqing Liu, Seonggoo Kang, and Haesun Park
- International Conference on Very Large Data Bases (VLDB), 2020
- pdf
[C1] Hyperlink Classification via Structured Graph Embedding
- Geon Lee, Seonggoo Kang, and Joyce Jiyoung Whang
- ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
- pdf
Academic Services
Program Committee
- SIAM International Conference on Data Mining (SDM), 2024
- AAAI Conference on Artificial Intelligence (AAAI), 2024
- Learning on Graphs Conference (LoG), 2022 - 2023
- ACM International Conference on Information and Knowledge Management (CIKM), 2022
Conference Reviewer
- The Web Conference (WWW), 2024
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023 - 2024
Journal Reviewer
- Big Data Research (2024)
- IEEE Transactions on Knowledge and Data Engineering (TKDE) (2023)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2023)
- The VLDB Journal (2023)
Awards & Honors
Selected as One of the Best-Ranked Papers of ICDM 2021
Dec. 2021
Sungkyunkwan Presidential Award
Aug. 2019
Dean's List
2016 - 2019
Sungkyun Software Scholarship (Full tuition for all semesters)
2016 - 2019
Projects
AI-Based Weather Forecast Support Development
July 2021 - Present
COVID-19 Task Force
Mar. 2020 - Sep. 2020
Teaching
KAIST AI506 Data Mining and Search
Spring 2021, Spring 2023
KAIST AI607 Graph Mining and Social Network Analysis
Fall 2020, Fall 2021, Fall 2022, Fall 2023
KAIST AI617 Machine Learning for Robotics
Spring 2022
SKKU CSE3036 Seminar in Computer Engineering
Fall 2019