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 organizes a summer school dedicated to deep learning with PyTorch. This program consists of 5 lectures presented by Namgyu Jung, Ph.D. Course, Gachon University (정남규, 가천대학교 박사과정), from July 3rd, 2023, to July 31st, 2023.
The Network Science Lab at the Catholic University of Korea organizes a summer school dedicated to technical writing. This program consists of 10 lectures presented by Dr. Eun-Soon You (유은순 박사), from July 31st, 2023, to August 21st, 2023.
The Network Science Lab at the Catholic University of Korea organizes a summer school dedicated to digital humanities. This program consists of 10 lectures presented by Dr. Eun-Soon You (유은순 박사), from June 27th, 2023, to July 27th, 2023.
Undergraduate research assistants of the Network Science Lab at the Catholic University of Korea presented two papers at the 2023 Conference of Korea Institute of Smart Media (KISM 2023; 2023년 한국스마트미디어학회 종합학술대회).
The Network Science Lab at the Catholic University of Korea releases Connector, a comprehensive graph representation learning framework developed primarily in Python using the PyTorch library.