Sooho Moon and Prof. Ko attended the ACM International Conference on Web Search and Data Mining (WSDM) 2026, held in Boise, Idaho, USA, to present our work titled "How Sharp and Bias-Robust is a Model? Dual Evaluation Perspectives on Knowledge Graph Completion".

Our lab hosted Prof. Kim (CBNU) for an invited talk titled "Designing Sociotechnical Systems for People in Need" at CAU.

Our lab celebrated Teacher's day together 🙂

Prof. Ko presented two papers at the ACM Web Conference (WWW) 2025, held in Sydney, Australia.

Paper #1: CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
Paper #2: HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction

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.