Yong-Min Shin

According to our database, Yong-Min Shin authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes.

Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao

IEEE Trans. Emerg. Top. Comput., 2024

2023

Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs.

Yong-Min Shin, Won-Yong Shin

CoRR, 2023

Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs.

Yong-Min Shin, Won-Yong Shin

CoRR, 2023

2022

PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.

Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin

CoRR, 2022

Time-Series Anomaly Detection with Implicit Neural Representation.

Kyeong-Joong Jeong, Yong-Min Shin

CoRR, 2022

Prototype-Based Explanations for Graph Neural Networks (Student Abstract).

Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding.

Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2021

2017

A Study on ROS Vulnerabilities and Countermeasure.

Se-Yeon Jeong, I-Ju Choi, Yeong-Jin Kim, Yong-Min Shin, Jeong-Hun Han, Goo-Hong Jung, Kyoung-Gon Kim

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017