Myoung Ho Kim

Myoung Ho Kim

KAIST

H-index: 27

Asia-South Korea

About Myoung Ho Kim

Myoung Ho Kim, With an exceptional h-index of 27 and a recent h-index of 10 (since 2020), a distinguished researcher at KAIST, specializes in the field of Database.

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

Bayesian inductive learning in group recommendations for seen and unseen groups

Bootstrapped knowledge graph embedding based on neighbor expansion

Finding influential communities in networks with multiple influence types

Variational graph normalized autoencoders

DGC: Dynamic group behavior modeling that utilizes context information for group recommendation

GraphShop: Graph-based Approach for Shop-type Recommendation

Real-time deep learning-based anomaly detection approach for multivariate data streams with Apache Flink

I/O efficient structural clustering and maintenance of clusters for large-scale graphs

Myoung Ho Kim Information

University

Position

___

Citations(all)

3509

Citations(since 2020)

478

Cited By

3204

hIndex(all)

27

hIndex(since 2020)

10

i10Index(all)

75

i10Index(since 2020)

13

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Myoung Ho Kim Skills & Research Interests

Database

Top articles of Myoung Ho Kim

Title

Journal

Author(s)

Publication Date

Bayesian inductive learning in group recommendations for seen and unseen groups

Information Sciences

Kwang Hee Lee

Myoung Ho Kim

2022/9/1

Bootstrapped knowledge graph embedding based on neighbor expansion

Jun Seon Kim

Seong Jin Ahn

Myoung Ho Kim

2022/10/17

Finding influential communities in networks with multiple influence types

Information Sciences

Jung Hyuk Seo

Myoung Ho Kim

2021/2/16

Variational graph normalized autoencoders

Seong Jin Ahn

MyoungHo Kim

2021/10/26

DGC: Dynamic group behavior modeling that utilizes context information for group recommendation

Knowledge-Based Systems

Hyun Ji Jeong

Kwang Hee Lee

Myoung Ho Kim

2021/2/15

GraphShop: Graph-based Approach for Shop-type Recommendation

Guo Yuan An

Sung Eui Yoon

Jae Yoon Kim

Lin Wang

Myoung Ho Kim

2021

Real-time deep learning-based anomaly detection approach for multivariate data streams with Apache Flink

Tae Wook Ha

Jung Mo Kang

Myoung Ho Kim

2021/5/18

I/O efficient structural clustering and maintenance of clusters for large-scale graphs

Expert Systems with Applications

Jung Hyuk Seo

Myoung Ho Kim

2021/4/15

Query processing method, electronic device, and server

2021/3/9

Linearization of dependency and sampling for participation-based betweenness centrality in very large B-hypergraphs

ACM Transactions on Knowledge Discovery from Data (TKDD)

Kwang Hee Lee

Myoung Ho Kim

2020/3/13

Utilizing adjacency of colleagues and type correlations for enhanced link prediction

Data & Knowledge Engineering

Hyun Ji Jeong

Myoung Ho Kim

2020/1/1

See List of Professors in Myoung Ho Kim University(KAIST)