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.
Members of the Network Science Lab at the Catholic University of Korea submitted two papers on structure-preserving graph transformers and explainable graph neural networks to the 38th AAAI Conference on Artificial Intelligence (AAAI 2024) and were accepted.
Call for Papers of the 2nd CUK Annual Colloquium on Artificial Intelligence - A workshop series that brings together graduate and undergraduate students from the Department of Artificial Intelligence at the Catholic University of Korea to present and discuss their research with experienced scholars in the field.
The Network Science Lab at the Catholic University of Korea is organising a winter school dedicated to digital humanities. This winter school program consists of 9 lectures given by Dr. Eun-Soon You (유은순 박사) and is scheduled to run for two weeks (Dec 18th, 2023 -- Dec 29th, 2023).
The Network Science Lab at the Catholic University of Korea is organising a winter school on the ethics of AI and robots. This winter school program consists of 9 lectures given by Dr. Eun-Soon You (유은순 박사) and is scheduled to run for two weeks (Dec 18th, 2023 -- Dec 29th, 2023).
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.