Yeon-Chang Lee

Yeon-Chang Lee

Hanyang University

H-index: 12

Asia-South Korea

About Yeon-Chang Lee

Yeon-Chang Lee, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Hanyang University, specializes in the field of Data Mining, Graph Machine Learning, Recommender Systems.

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

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation

Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion

Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems

A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning

Representation Learning in Continuous-Time Dynamic Signed Networks

A survey on the role of crowds in combating online misinformation: Annotators, evaluators, and creators

Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding

TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks

Yeon-Chang Lee Information

University

Position

___

Citations(all)

446

Citations(since 2020)

385

Cited By

136

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Yeon-Chang Lee Skills & Research Interests

Data Mining

Graph Machine Learning

Recommender Systems

Top articles of Yeon-Chang Lee

Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation

arXiv preprint arXiv:2402.15988

2024/2/25

Learning to compensate for lack of information: Extracting latent knowledge for effective temporal knowledge graph completion

Information Sciences

2024/1/1

Uninteresting Items: Concept and Its Application to Effective Collaborative Filtering in Recommender Systems

ACM SIGWEB Newsletter

2023/12/11

Yeon-Chang Lee
Yeon-Chang Lee

H-Index: 6

Sang-Wook Kim
Sang-Wook Kim

H-Index: 13

A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning

IEEE Transactions on Knowledge and Data Engineering

2023/11/1

Representation Learning in Continuous-Time Dynamic Signed Networks

arXiv preprint arXiv:2207.03408

2022/7/7

A survey on the role of crowds in combating online misinformation: Annotators, evaluators, and creators

arXiv preprint arXiv:2310.02095

2023/10/3

Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding

arXiv preprint arXiv:2309.00816

2023/9/2

TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks

2023/7/19

Predicting Information Pathways Across Online Communities

2023/8/6

Disentangling degree-related biases and interest for out-of-distribution generalized directed network embedding

2023/4/30

A Competition-Aware Approach to Accurate TV Show Recommendation

2023/4

THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks

2022/11/28

Is It Enough Just Looking at the Title? Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation

2022/10/17

MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation

2022/10/17

Effective and efficient negative sampling in metric learning based recommendation

Information Sciences

2022/8/1

Directed Network Embedding with Virtual Negative Edges

2022/2/11

Linear, or Non-Linear, That is the Question!

2022/2/11

A Survey of Graph Neural Networks for Social Recommender Systems

arXiv preprint arXiv:2212.04481

2022/12/8

Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks

2021/12/7

See List of Professors in Yeon-Chang Lee University(Hanyang University)

Co-Authors

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