| Lte4g: Long-tail experts for graph neural networks S Yun, K Kim, K Yoon, C Park Proceedings of the 31st ACM International Conference on Information …, 2022 | 51 | 2022 |
| Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network K Yoon*, K Kim*, J Moon, C Park Proceedings of the AAAI Conference on Artificial Intelligence 2023, 2022 | 27 | 2022 |
| MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation K Kim, D Hyun, S Yun, C Park The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 21 | 2023 |
| LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024 …, 2023 | 12* | 2023 |
| Adaptive Self-training Framework for Fine-grained Scene Graph Generation K Kim*, K Yoon*, Y In, J Moon, D Kim, C Park The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 7* | 2024 |
| Self-Guided Robust Graph Structure Refinement Y In, K Yoon, K Kim, K Shin, C Park The 2024 ACM Web Conference (WWW 2024), 2024 | 6 | 2024 |
| Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation J Jeon, K Kim, K Yoon, C Park ECCV 2024, 2024 | 1 | 2024 |
| RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning K Yoon, K Kim, J Jeon, Y In, D Kim, C Park arXiv preprint arXiv:2412.12788, 2024 | | 2024 |
| Debiased Graph Poisoning Attack via Contrastive Surrogate Objective K Yoon, Y In, N Lee, K Kim, C Park Proceedings of the 33rd ACM International Conference on Information …, 2024 | | 2024 |
| Noise Robust Graph Learning under Feature-Dependent Graph-Noise Y In, K Yoon, K Kim, S Kim, C Park | | 2024 |
Kanghoon YoonKAIST , ph.D Candidatekaist.ac.kr의 이메일 확인됨