If you are interested in joining our lab, please send your transcript, CV, and a brief statement of your research interests to Prof. Yeon-Chang Lee.

For prospective graduate students: We currently have no openings for Master’s or Ph.D. students for Spring 2026. Prospective applicants for future semesters are welcome to reach out, but we strongly recommend completing at least a two-month internship before applying.

For undergraduate students: We welcome undergraduate interns, particularly 3rd-year students, who are aiming to pursue graduate studies in Spring 2027 (and more rarely, Fall 2026). 

Research Areas

We are currently focusing on three key areas related to graph neural networks (GNN) and recommender systems (RecSys). 

• Trustworthy GNN: Advancing GNN architectures to dynamically adapt to evolving graph structures and changing node/edge features, while prioritizing fairness, robustness, and accuracy to ensure reliable, unbiased, and ethical outcomes;

• Responsible RecSys: Leveraging multimodal data, knowledge bases, and large language models to provide ethical, personalized recommendations that enhance user satisfaction and transparency; and

• Knowledge Graphs for GNN Applications: Strengthening GNN applications through the generation of domain-specific knowledge graph, driving advancements in fields such as traffic management, labor markets, healthcare, and social polarization.