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2020 – today
- 2025
[c5]Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin:
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint. AAAI 2025: 20461-20469- [c4]Yong-Min Shin, Kyunghyun Lee, Sunghwan Lim, Kyungho Yoon, Won-Yong Shin:
DeformMLP: Effective Deformation Prediction for Breast Cancer Using Graph Topology-Assisted MLPs. DT4H@MICCAI 2025: 99-108 - 2024
- [j3]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: 112297 (2024) - [j2]Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin:
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6559-6576 (2024) - [j1]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): 150-162 (2024) - [c3]Jin-Duk Park, Yong-Min Shin, Won-Yong Shin:
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. SIGIR 2024: 2672-2676 - [i8]Jin-Duk Park, Yong-Min Shin, Won-Yong Shin:
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. CoRR abs/2404.14243 (2024) - [i7]Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin:
Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. CoRR abs/2406.04612 (2024) - [i6]Yong-Min Shin, Won-Yong Shin:
On the Feasibility of Fidelity- for Graph Pruning. CoRR abs/2406.11504 (2024) - 2023
- [i5]Yong-Min Shin, Won-Yong Shin:
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs. CoRR abs/2311.11759 (2023) - [i4]Yong-Min Shin, Won-Yong Shin:
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs. CoRR abs/2311.17781 (2023) - 2022
- [c2]Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin:
Prototype-Based Explanations for Graph Neural Networks (Student Abstract). AAAI 2022: 13047-13048 - [i3]Kyeong-Joong Jeong, Yong-Min Shin:
Time-Series Anomaly Detection with Implicit Neural Representation. CoRR abs/2201.11950 (2022) - [i2]Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin:
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. CoRR abs/2210.17159 (2022) - 2021
- [i1]Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR abs/2104.05225 (2021)
2010 – 2019
- 2017
- [c1]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: 147-148
Coauthor Index
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