Yong-Min Shin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Matrix Decomposition

Anomaly Detection

Directed Acyclic Graph

Top Venues

IEEE Trans. Emerg. Top. Comput.

HRI (Companion)

Publications

Yong-Min Shin, Won-Yong Shin
for Graph Pruning. CoRR (2024)
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. CoRR (2024)
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. CoRR (2024)
Jin-Duk Park, Yong-Min Shin, Won-Yong Shin
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. SIGIR (2024)
Yong-Min Shin, Won-Yong Shin
Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs. Knowl. Based Syst. 301 (2024)
Yong-Min Shin, Won-Yong Shin
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs. CoRR (2023)
Yong-Min Shin, Won-Yong Shin
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs. CoRR (2023)
Kyeong-Joong Jeong, Yong-Min Shin
Time-Series Anomaly Detection with Implicit Neural Representation. CoRR (2022)
Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. CoRR (2022)
Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin
Prototype-Based Explanations for Graph Neural Networks (Student Abstract). AAAI (2022)
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR (2021)
Se-Yeon Jeong, I-Ju Choi, Yeong-Jin Kim, Yong-Min Shin, Jeong-Hun Han, Goo-Hong Jung, Kyoung-Gon Kim
A Study on ROS Vulnerabilities and Countermeasure. HRI (Companion) (2017)