Geon Lee

Geon Lee

Ph.D. Student, KAIST

I am a Ph.D. student in the Kim Jaechul Graduate School of AI at KAIST, advised by Prof. Kijung Shin at the Data Mining Lab. I obtained my B.S. degree in Computer Science and Engineering from Sungkyunkwan University. Previously, I interned at NEC Labs America and Amazon. My research interests include data mining, machine learning, recommender systems, and social network analysis.

Education

KAIST
M.S. & Ph.D. in Artificial Intelligence Sep. 2020 - Present
Sungkyunkwan University
B.S. in Computer Science and Engineering Mar. 2016 - Aug. 2019

Work Experience

NEC Labs America
Research Intern May 2023 - Aug. 2023
Amazon
Applied Scientist Intern Sep. 2022 - Dec. 2022

Publications

2025

[C17] MARIOH: Multiplicity-Aware Hypergraph Reconstruction
Kyuhan Lee, Geon Lee, and Kijung Shin
ICDE 2025   PDF Appendix Poster Code
[J7] A Survey on Hypergraph Mining: Patterns, Tools, and Generators
Geon Lee*, Fanchen Bu*, Tina Eliassi-Rad, and Kijung Shin
ACM Computing Surveys   PDF
[C16] Multi-Behavior Recommender Systems: A Survey
Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin
PAKDD 2025 (Survey)   PDF
[C15] Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization
Yeongho Kim, Yuyeong Kim, Geon Lee, and Kijung Shin
WWW 2025   PDF Appendix Poster Code
[C14] TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, and Haifeng Chen
AAAI 2025   PDF Appendix Poster Code

2024

[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 Poster 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 Appendix Poster Code
[C10] Towards Better Utilization of Multiple Views for Bundle Recommendation
Kyungho Kim, Sunwoo Kim, Geon Lee, and Kijung Shin
CIKM 2024 (Short)   PDF Appendix Poster 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
Transactions on Knowledge Discovery from Data   PDF Short 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 Poster Code

2023

[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   PDF Slides Poster Code
[J4] Hypergraph Motifs and Their Extensions Beyond Binary
Geon Lee*, Seokbum Yoon*, Jihoon Ko, Hyunju Kim, and Kijung Shin
The VLDB Journal   PDF Short Ver. Code
KAIST Outstanding Paper Award
[J3] Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
Fanchen Bu, Geon Lee, and Kijung Shin
Data Mining and Knowledge Discovery   PDF Slides Poster Code
[J2] Temporal Hypergraph Motifs
Geon Lee and Kijung Shin
Knowledge and Information Systems   PDF Short Ver. Code

2022

[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 Long 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 Journal 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 & epiDAMIK (KDD 2021)   PDF Appendix Slides Code

2021

[C5] THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
Geon Lee and Kijung Shin
ICDM 2021   PDF Journal 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

2020

[C3] Hypergraph Motifs: Concepts, Algorithms, and Discoveries
Geon Lee, Jihoon Ko, and Kijung Shin
VLDB 2020   PDF Journal 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

2019

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

Academic Services

Program Committee/Conference Reviewer
  • AAAI Conference on Artificial Intelligence (AAAI) 2024 - 2025
  • The Web Conference (WWW) 2024 - 2025
  • Conference on Neural Information Processing Systems (NeurIPS) 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
  • International Conference on Machine Learning (ICML) 2025
  • 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
  • Information Sciences 2024 - 2025
  • PLOS ONE 2024 - 2025
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025
  • Information Processing and Management 2025
  • IEEE Transactions on Network Science and Engineering (TNSE) 2024
  • Data Mining and Knowledge Discovery 2024
  • Big Data Research 2024
Session Chair
  • ACM International Conference on Information and Knowledge Management (CIKM) 2024

Awards & Honors

  • Outstanding Reviewer (Top 10%) of KDD 2025 Dec. 2024
  • KAIST Outstanding Paper Award Nov. 2024
  • One of the Best Short Paper Candidates of RecSys 2024 Oct. 2024
  • 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 - Dec. 2024
  • COVID-19 Task Force Mar. 2020 - Sep. 2020

Teaching

Teaching Assistant
  • 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
Tutorial Tutor
  • Mining of Real-World Hypergraphs: Patterns, Tools, and Generators CIKM 2022, ICDM 2022, WWW 2023, KDD 2023