| Time-series anomaly detection with implicit neural representation KJ Jeong, YM Shin arXiv preprint arXiv:2201.11950, 2022 | 13 | 2022 |
| Prototype-based explanations for graph neural networks (Student Abstract) YM Shin, SW Kim, EB Yoon, WY Shin Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13047 …, 2022 | 7 | 2022 |
| Explainable gait recognition with prototyping encoder–decoder J Moon, YM Shin, JD Park, NH Minaya, WY Shin, SI Choi Plos one 17 (3), e0264783, 2022 | 5 | 2022 |
| Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation JD Park, YM Shin, WY Shin arXiv preprint arXiv:2404.14243, 2024 | 1 | 2024 |
| PAGE: prototype-based model-level explanations for graph neural networks YM Shin, SW Kim, WY Shin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs YM Shin, WY Shin arXiv preprint arXiv:2311.17781, 2023 | 1 | 2023 |
| Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. YM Shin, C Tran, WY Shin, X Cao arXiv preprint arXiv 2104, 2021 | 1 | 2021 |
| Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes YM Shin, C Tran, WY Shin, X Cao IEEE Transactions on Emerging Topics in Computing, 2023 | | 2023 |
