Yong-Min Shin

Orcid: 0000-0001-7402-5065

According to our database1, Yong-Min Shin authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes.
IEEE Trans. Emerg. Top. Comput., 2024

Unveiling the unseen potential of graph learning through MLPs: Effective graph learners using propagation-embracing MLPs.
Knowl. Based Syst., 2024

On the Feasibility of Fidelity<sup>-</sup> for Graph Pruning.
CoRR, 2024

Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks.
CoRR, 2024

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs.
CoRR, 2023

2022
Time-Series Anomaly Detection with Implicit Neural Representation.
CoRR, 2022

Prototype-Based Explanations for Graph Neural Networks (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding.
CoRR, 2021

2017
A Study on ROS Vulnerabilities and Countermeasure.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017


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