Jaemin Yoo

About Jaemin Yoo

Jaemin Yoo, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Data Mining, Machine Learning, Graph Neural Networks.

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

NETEFFECT: Discovery and Exploitation of Generalized Network Effects

End-To-End Self-tuning Self-supervised Time Series Anomaly Detection

Hypeboy: Generative self-supervised representation learning on hypergraphs

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

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

Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities

Reciprocity in directed hypergraphs: measures, findings, and generators

DSV: an alignment validation loss for self-supervised outlier model selection

Jaemin Yoo Information

University

Position

PhD Student at

Citations(all)

386

Citations(since 2020)

381

Cited By

54

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Jaemin Yoo Skills & Research Interests

Data Mining

Machine Learning

Graph Neural Networks

Top articles of Jaemin Yoo

NETEFFECT: Discovery and Exploitation of Generalized Network Effects

2024/4/25

Jaemin Yoo
Jaemin Yoo

H-Index: 4

Christos Faloutsos
Christos Faloutsos

H-Index: 89

End-To-End Self-tuning Self-supervised Time Series Anomaly Detection

arXiv preprint arXiv:2404.02865

2024/4/3

Hypeboy: Generative self-supervised representation learning on hypergraphs

arXiv preprint arXiv:2404.00638

2024/3/31

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

arXiv preprint arXiv:2402.04621

2024/2/7

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

ACM Transactions on Knowledge Discovery from Data

2024

Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities

2023/12/15

Leman Akoglu
Leman Akoglu

H-Index: 32

Jaemin Yoo
Jaemin Yoo

H-Index: 4

Reciprocity in directed hypergraphs: measures, findings, and generators

Data Mining and Knowledge Discovery

2023/11

DSV: an alignment validation loss for self-supervised outlier model selection

2023/9/17

Less is more: Slimg for accurate, robust, and interpretable graph mining

2023/8/6

Jaemin Yoo
Jaemin Yoo

H-Index: 4

Christos Faloutsos
Christos Faloutsos

H-Index: 89

Classification of edge-dependent labels of nodes in hypergraphs

2023/8/6

How Transitive Are Real-World Group Interactions?-Measurement and Reproduction

2023/8/6

Towards deep attention in graph neural networks: Problems and remedies

2023/7/3

Jaemin Yoo
Jaemin Yoo

H-Index: 4

Kijung Shin
Kijung Shin

H-Index: 16

End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection

arXiv preprint arXiv:2306.12033

2023/6/21

Accurate node feature estimation with structured variational graph autoencoder

2022/8/14

Graph-based PU learning for binary and multiclass classification without class prior

Knowledge and Information Systems

2022/8

Model-agnostic augmentation for accurate graph classification

2022/4/25

Jaemin Yoo
Jaemin Yoo

H-Index: 4

U Kang
U Kang

H-Index: 31

Midas: Representative sampling from real-world hypergraphs

2022/4/25

Signed random walk diffusion for effective representation learning in signed graphs

Plos one

2022/3/17

Ultraprop: Principled and explainable propagation on large graphs

2022

Jaemin Yoo
Jaemin Yoo

H-Index: 4

Christos Faloutsos
Christos Faloutsos

H-Index: 89

See List of Professors in Jaemin Yoo University(Seoul National University)

Co-Authors

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