Network Science Lab

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.

Latest Posts

S-CGIB, A Novel Pre-trained Graph Neural Network in Molecular Structure Learning

The Network Science Lab at the Catholic University of Korea releases S-CGIB, a Novel Pre-trained Graph Neural Network in Molecular Structure Learning

One NS-CUK paper accepted for AAAI'25

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.

Jin Woo Jeong and Ju Hee Shim won the Best Award in the 2024 CUK Competition on AI, CSIE, and DS

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.

2024 Fall CUK AI Seminar Series

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.

Jin Woo Jeong won the Encouragement Award in the 2024 CUK Competition on Industrial Mathematics

The undergraduate research assistant of the Network Science Lab at the Catholic University of Korea distinguished himself in the 2024 CUK Competition on Industrial Mathematics (제1회 가톨릭대학교 수학과 산업수학 경진대회), securing the Encouragement Award.