NS Lab @ CUK's repositories
Unified-Graph-Transformer
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.
Community-aware-Graph-Transformer
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.
Graph-Mining-Spring-2023
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.
Graph-Neural-Networks-Fall-2023
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.
Graph-Mining-Spring-2024
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.
Context-Aware-Residual-Transformer
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.
Graph-Neural-Networks-Fall-2024
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.
Internal-Pipe-Corrosion-Assessment-with-Ultrasound-and-CNNs
This study introduces a dual-mode methodology for quantifying pipe corrosion by employing ultrasound technology in conjunction with convolutional neural networks (CNN).
Graph-Mining-Spring-2025
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.
Halal-or-Not
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.
Lightweight-Age-Gender-Classifier
A hybrid age and gender classification framework wrapping state-of-the-art models.
Novel2Graph
Novel2Graph is a novel framework for extracting knowledge graphs from literary texts, which is developed by NS Lab @ CUK.
NSLab-CUK.github.io
Official website of NS Lab @ CUK