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 Halal or Not (HaCKG), a novel attributed knowledge graph completion model for predicting cultural appropriateness of everyday products (mainly, halal and haram of cosmetics).
The Network Science Lab at the Catholic University of Korea releases S-CGIB, a novel pre-trained graph neural network model for molecular structure learning.
Members of the Network Science Lab at the Catholic University of Korea submitted one paper on pre-training graph neural networks on molecules to the 39th AAAI Conference on Artificial Intelligence (AAAI 2025) and was accepted.
The undergraduate research assistants of the Network Science Lab at the Catholic University of Korea distinguished themselves in the 2024 CUK Competition on AI, CSIE, and DS (제 3회 가톨릭대학교 인공지능학과/컴퓨터정보공학부/데이터사이언스학과 경진대회), securing the Best Award.
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 13 weeks, from September 3rd, 2024, to November 26th, 2024, this series will feature 12 talks by leading experts.