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 undergraduate research assistants of the Network Science Lab at the Catholic University of Korea have once again distinguished themselves in the 2024 CUK Competition on Data Analytics (제4회 가톨릭대학교 데이터분석 경진대회), securing the encouragement award for the third consecutive year.
The Network Science Lab at the Catholic University of Korea releases Context-Aware Residual Transformer, namely CART, a novel transformer-based recommendation system specialised in offline retail environment.
Members of the Network Science Lab at the Catholic University of Korea presented two papers on structure-preserving graph transformers and explainable graph neural networks at the 38th AAAI Conference on Artificial Intelligence (AAAI 2024).
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 March 12th, 2024, to June 4th, 2024, this series will feature 12 talks by leading experts.
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.