Geon Lee

Geon Lee

KAIST

H-index: 7

Asia-South Korea

About Geon Lee

Geon Lee, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at KAIST, specializes in the field of Data Mining, Graph Mining, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hypergraph motifs and their extensions beyond binary

A survey on hypergraph mining: Patterns, tools, and generators

Representative and Back-In-Time Sampling from Real-World Hypergraphs

Supplementary Document for ‘A Survey on Hypergraph Mining: Patterns, Tools, and Generators’

Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications

Tutorials at the web conference 2023

Temporal hypergraph motifs

Geon Lee Information

University

Position

MS at AI

Citations(all)

212

Citations(since 2020)

212

Cited By

13

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Geon Lee Skills & Research Interests

Data Mining

Graph Mining

Machine Learning

Top articles of Geon Lee

Hypergraph motifs and their extensions beyond binary

The VLDB Journal

2023/12/26

A survey on hypergraph mining: Patterns, tools, and generators

arXiv preprint arXiv:2401.08878

2024/1/16

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Representative and Back-In-Time Sampling from Real-World Hypergraphs

ACM Transactions on Knowledge Discovery from Data

2024

Supplementary Document for ‘A Survey on Hypergraph Mining: Patterns, Tools, and Generators’

2024

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

Data Mining and Knowledge Discovery

2023/12/21

Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications

Data Mining and Knowledge Discovery

2023/11

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Temporal hypergraph motifs

Knowledge and Information Systems

2023/4

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Set2Box: Similarity Preserving Representation Learning for Sets

2022/11/28

Mining of real-world hypergraphs: Patterns, tools, and generators

2022/10/17

Hashnwalk: Hash and random walk based anomaly detection in hyperedge streams

arXiv preprint arXiv:2204.13822

2022/4/29

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Midas: Representative sampling from real-world hypergraphs

2022/4/25

Simple Epidemic Models with Segmentation Can Be Better than Complex Ones

Plos one

2022/1/12

Thyme+: Temporal hypergraph motifs and fast algorithms for exact counting

2021/12/7

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators

2021/4/19

Geon Lee
Geon Lee

H-Index: 3

Kijung Shin
Kijung Shin

H-Index: 16

Hypergraph Motifs: Concepts, Algorithms, and Discoveries

Proceedings of the VLDB Endowment

2020/3/4

MEGA: Multi-view semi-supervised clustering of hypergraphs

Proceedings of the VLDB Endowment

2020/1/1

See List of Professors in Geon Lee University(KAIST)