Yong-Min Shin

18 papers A* 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Real-time prediction of breast cancer sites using deformation-aware graph neural network.
Eng. Appl. Artif. Intell.
Kyunghyun Lee, Yong-Min Shin, Minwoo Shin, Jihun Kim, Sunghwan Lim, Won-Yong Shin, Kyungho Yoon
2025 — conf
DeformMLP: Effective Deformation Prediction for Breast Cancer Using Graph Topology-Assisted MLPs.
DT4H@MICCAI
Yong-Min Shin, Kyunghyun Lee, Sunghwan Lim, Kyungho Yoon, Won-Yong Shin
2025 A* conf
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint.
AAAI
Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
2025 J jnl
Real-time prediction of breast cancer sites using deformation-aware graph neural network.
CoRR
Kyunghyun Lee, Yong-Min Shin, Minwoo Shin, Jihun Kim, Sunghwan Lim, Won-Yong Shin, Kyungho Yoon
2024 J jnl
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes.
IEEE Trans. Emerg. Top. Comput.
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2024 J jnl
On the Feasibility of Fidelity
CoRR
Yong-Min Shin, Won-Yong Shin
2024 J jnl
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin
2024 J jnl
Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks.
CoRR
Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
2024 A* conf
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
SIGIR
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
2024 J jnl
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
CoRR
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
2024 J jnl
Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs.
Knowl. Based Syst.
Yong-Min Shin, Won-Yong Shin
2023 J jnl
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs.
CoRR
Yong-Min Shin, Won-Yong Shin
2023 J jnl
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs.
CoRR
Yong-Min Shin, Won-Yong Shin
2022 J jnl
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.
CoRR
Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin
2022 A* conf
Prototype-Based Explanations for Graph Neural Networks (Student Abstract).
AAAI
Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin
2022 J jnl
Time-Series Anomaly Detection with Implicit Neural Representation.
CoRR
Kyeong-Joong Jeong, Yong-Min Shin
2021 J jnl
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding.
CoRR
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2017 — conf
A Study on ROS Vulnerabilities and Countermeasure.
HRI (Companion)
Seyeon Jeong, I-Ju Choi, Yeong-Jin Kim, Yong-Min Shin, Jeong-Hun Han, Goo-Hong Jung, Kyoung-Gon Kim