Is Performance of Scholars Correlated to Their Research Collaboration Patterns? - Hyeon-Ju Jeon; O-Joun Lee; Jason J. Jung (Frontiers Big Data, 2019)

Learning multi-resolution representations of research patterns in bibliographic networks. - O-Joun Lee; Hyeon-Ju Jeon; Jason J. Jung (J. Informetrics, 2021)

Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network. - Hyeon-Ju Jeon; Min-Woo Choi; O-Joun Lee (Sensors, 2022)

Discovering the role model of authors by embedding research history. - Hyeon-Ju Jeon; Jason J. Jung (J. Inf. Sci., 2023)

Graph Representation Learning and Its Applications: A Survey. - Van Thuy Hoang; Hyeon-Ju Jeon; Eun-Soon You; Yoewon Yoon; Sungyeop Jung; O-Joun Lee (Sensors, 2023)

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (CoRR, 2024)

Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (CoRR, 2024)

Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks*. - Hyeon-Ju Jeon; Jeon-Ho Kang; In-Hyuk Kwon; O-Joun Lee (Mach. Learn. Sci. Technol., 2024)

Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products. - Van Thuy Hoang; Tien-Bach-Thanh Do; Jinho Seo; Seung Charlie Kim; Luong Vuong Nguyen; Duong Nguyen Minh Huy; Hyeon-Ju Jeon; O-Joun Lee (IEEE Access, 2025)

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention. - Van Thuy Hoang; Hyeon-Ju Jeon; O-Joun Lee (CoRR, 2025)