Geon Lee

KAIST Sep. 2020 - Present

M.S. & Ph.D. in Artificial Intelligence

Sungkyunkwan University (SKKU) Mar. 2016 - Aug. 2019

B.S. in Computer Science and Engineering

NEC Labs America May 2023 - Aug. 2023

Research Intern

Amazon Sep. 2022 - Dec. 2022

Applied Scientist Intern

[P1] A Survey on Hypergraph Mining: Patterns, Tools, and Generators
Geon Lee*, Fanchen Bu*, Tina Eliassi-Rad, and Kijung Shin
arXiv (2024) [ pdf ]

[C13] Resource2Box: Learning to Rank Resources in Distributed Search Using Box Embedding
Ulugbek Ergashev, Geon Lee, Kijung Shin, Eduard Dragut, and Weiyi Meng
ICDM 2024 [ pdf ]

[C12] Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation
Geon Lee, Kyungho Kim, and Kijung Shin
RecSys 2024 (Short) [ pdf | appendix | code ]
One of the Best Short Paper Candidates of RecSys 2024

[C11] Post-Training Embedding Enhancement for Long-Tail Recommendation
Geon Lee, Kyungho Kim, and Kijung Shin
CIKM 2024 (Short) [ pdf | code ]

[C10] Towards Better Utilization of Multiple Views for Bundle Recommendation
Kyungho Kim, Sunwoo Kim, Geon Lee, and Kijung Shin
CIKM 2024 (Short) [ pdf | code ]

[J6] Representative and Back-in-Time Sampling from Real-World Hypergraphs
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, and Kijung Shin
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
WWW 2024 [ pdf | code ]

[T2] Mining of Real-World Hypergraphs: Patterns, Tools, and Generators
Geon Lee, Jaemin Yoo, and Kijung Shin
KDD 2023 & 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 (2023) [ pdf | 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 (2023) [ pdf | slides | code ]

[J2] Temporal Hypergraph Motifs
Geon Lee and Kijung Shin
KAIS (2023) [ pdf | shorter ver. | code ]

[T1] Mining of Real-World Hypergraphs: Patterns, Tools, and Generators
Geon Lee, Jaemin Yoo, and Kijung Shin
ICDM 2022 & CIKM 2022 [ website | video | proposal | survey ]

[C8] Set2Box: Similarity Preserving Representation Learning for Sets
Geon Lee, Chanyoung Park, and Kijung Shin
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
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
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) & epiDAMIK (KDD 2021) [ pdf | appendix | slides | code ]

[C5] THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
Geon Lee and Kijung Shin
ICDM 2021 [ pdf | longer ver. | slides | code ]
One of the Best-Ranked Papers of ICDM 2021

[C4] How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators
Geon Lee*, Minyoung Choe*, and Kijung Shin
WWW 2021 [ pdf | appendix | slides | code ]

[C3] Hypergraph Motifs: Concepts, Algorithms, and Discoveries
Geon Lee, Jihoon Ko, and Kijung Shin
VLDB 2020 [ pdf | appendix | longer ver. | slides | code ]

[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
VLDB 2020 [ pdf ]

[C1] Hyperlink Classification via Structured Graph Embedding
Geon Lee, Seonggoo Kang, and Joyce Jiyoung Whang
SIGIR 2019 (Short) [ pdf ]

Program Committee/Conference Reviewer
AAAI Conference on Artificial Intelligence (AAAI) 2024 - 2025
The Web Conference (WWW) 2024 - 2025
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023 - 2025
ACM International Conference on Information and Knowledge Management (CIKM) 2022 - 2024
Learning on Graphs Conference (LoG) 2022 - 2024
International Conference on Representation Learning (ICLR) 2025
International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
Conference on Neural Information Processing Systems (NeurIPS) 2024
SIAM International Conference on Data Mining (SDM) 2024

Journal Reviewer
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023 - 2024
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2023 - 2024
The VLDB Journal 2023 - 2024
IEEE Transactions on Network Science and Engineering (TNSE) 2024
Data Mining and Knowledge Discovery 2024
PLOS ONE 2024
Big Data Research 2024

Session Chair
ACM International Conference on Information and Knowledge Management (CIKM) 2024

Selected as One of the Best Short Paper Candidates of RecSys 2024 Oct. 2024

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

AI-Based Weather Forecast Support Development July 2021 - Present

COVID-19 Task Force Mar. 2020 - Sep. 2020

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