Prof. Ko gave a talk, titled  "Efficient and Scalable Approach for Large-scale Graph Machine Leraning", at 2024 Korea-Japan Database Workshop.

Our lab invited Prof. Kang (CBNU) and Prof. Yoon (Korea Univ.).

Talk #1 (Prof. Kang): Low Mileage, High Fidelity: Hypergraph Expansion Methods and Information Loss Quantification
Talk #2 (Prof. Yoon): Learning from Evolving, (Un)structured Data with Foundation Models

Prof. Ko gave a talk, titled  "To be Accurate or Efficient? Knowledge Discovery from Real-world Networks: Dilemma, Methods, and Applications", at Data Intelligence Workshop.