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Network Science Lab, The Catholic University of Korea

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효율적인 후보물질검증 및 분자성질분석을 위한 분자 그래프 파운데이션 모델 구축
S.M.Lee, Invited Talk on "Machine Learning-based Anomaly Detection"
5강 - 멀티모달 및 모듈화.pptx
3강 - CNN 및 이미지 모델.pptx
4강 - RNN 및 시계열 모델.pptx
2강 - 실험 흐름과 멀티모달 개요.pptx
Presentation for "Lecture Quality Prediction using Graph Neural Networks"
NS-CUK Seminar: J.H.Lee, Review on "Graph Neural Networks with convolutional ARMA filters", IEEE Transactions on Pattern Analysis and Machine Intelligence volume 44
NS-CUK Seminar: V.T.Hoang, Review on "Are More Layers Beneficial to Graph Transformers?", International Conference on Learning Representations 2023
NS-CUK Seminar: S.T.Nguyen Review on "Accurate learning of graph representations with graph multiset pooling?", International Conference on Learning Representations 2021
Joo-Ho Lee: Topographic-aware wind forecasting system using multi-modal spatio-temporal graph neural network