Name: NS Lab @ CUK
Type: User
Company: The Catholic University of Korea
Bio: Network Science Lab, Dept. of Artificial Intelligence, The Catholic University of Korea
Twitter: NS_CUK
Location: Bucheon, Rep. of Korea
Blog: https://nslab-cuk.github.io/
NS Lab @ CUK's Projects
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
The Graph Representation Learning Framework developed by NS Lab @ CUK.
Context-Aware Residual Transformer (CART) is a kiosk recommendation system (CART) that utilizes self-supervised learning techniques tailored to kiosks in an offline retail environment and developed by a collaboration between NS Lab @ CUK and IIP Lab @ Gachon University based on pure PyTorch backend.
Welcome to the Graph Mining (06837-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Welcome to the Graph Mining (06837-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Halal or Not is a novel Attributed Knowledge Graph Completion Model developed by NS Lab @ CUK based on pure PyTorch backend. This model aims at analyzing ingredients of everyday products to predict their cultural availability, e.g. predicting whether food or cosmetics meet halal or vegan criteria.
This study introduces a dual-mode methodology for quantifying pipe corrosion by employing ultrasound technology in conjunction with convolutional neural networks (CNN).
A hybrid age and gender classification framework wrapping state-of-the-art models.
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
Novel2Graph is a novel framework for extracting knowledge graphs from literary texts, which is developed by NS Lab @ CUK.
Public profile of NS Lab @ CUK
Official website of NS Lab @ CUK
Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.
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