This page is an archive for papers reviewed by members of the Network Science Lab, along with corresponding presentation materials, as part of the NS-CUK Weekly Seminar series. Launched in Fall 2022, this seminar series is intended to be a platform for the members of the Network Science Lab at the Catholic University of Korea to exchange insights and understanding of state-of-the-art AI methodologies and models for graph mining.
Previous Years
2025
Jan 20th, 2025
V.T. Hoang, Review on "Multi-channel learning for integrating structural hierarchies into contextdependent molecular representation", Nature Communications 2025
T.B.T. Do, Review on "HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation", ECCV 2024
Jan 13th, 2025
V.T. Hoang, Review on "On the Scalability of GNNs for Molecular Graphs ", NeurIPS 2024
T.B.T. Do, Review on "Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification", AAAI 2025
J.H. Shim, Review on "An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention", AAAI 2024
H.W. Kim, Review on "Progressive layered extraction (PLE): A novel multi-task learning (MTL) model for personalized recommendations", Conference on Recommender Systems 2020
Jan 6th, 2025
V.T. Hoang, Review on "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules", ICLR 2023
T.B.T. Do, Review on "SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation", AAAI 2025
J.W. Jeong, Review on "SchNet: A continuous-filter convolutional neural network for modeling quantum interactions", NeurIPS 2017
