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 Community-aware Graph Transformers, namely CGT, a novel Graph Transformer model specialised in mitigating degree biases in message passing mechanism.
Members of the Network Science Lab at the Catholic University of Korea presented at the 2nd CUK Annual Colloquium on Artificial Intelligence (CUK AI Colloquium 2023) and received the Exellence in Research (EiR) Award.
The Department of Artificial Intelligence at the Catholic University of Korea successfully hosted the 2nd Annual CUK Colloquium on Artificial Intelligence. In this event, 8 graduate and 3 undergraduate student teams presented their research achievements for the year.
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.