Network science is a field of study that aims to reveal structural patterns in real-world interaction networks, such as social networks, bibliographic networks, power grids, and others. The Network Science Lab (NS Lab; 네트워크과학연구실), part of the Dept. of AI at CUK, conducts extensive research on a wide range of theories, methodologies, and applications related to collection, representation, and analysis of networked data.
The Network Science Lab at the Catholic University of Korea releases LiteralKG, a novel GNN model for learning literal-aware representations of medical knowledge graphs to integrate literal information and graph structural features into unified vector representations.
The Network Science Lab at the Catholic University of Korea releases UGT, a novel Graph Transformer model specialised in preserving both local and global graph structures.
The Network Science Lab at the Catholic University of Korea and the Advanced Institute of Convergence Technology (AICT) are organizing a joint seminar focusing on diverse AI application domains. The seminar series features 5 presentations by AICT researchers and is scheduled for August 22nd, 2023.
The Department of Artificial Intelligence at the Catholic University of Korea is hosting a series of seminars on various areas of application of artificial intelligence. Spanning 15 weeks, from August 29th, 2023, to December 5th, 2023, this series will feature 13 talks by leading experts.
Sangmyeong Lee, Hanyang University, an alumnus of the Network Science Lab at the Catholic University of Korea, visited us for a homecoming day and to give an invited talk on his current research on anomaly detection in time series data.