| 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 | 53 | 2022 |
| Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network K Yoon*, K Kim*, J Moon, C Park Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2022 | 29 | 2022 |
| Shift-Robust Molecular Relational Learning with Causal Substructure N Lee, K Yoon, GS Na, S Kim, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 21 | 2023 |
| LLM4SGG: large language models for weakly supervised scene graph generation K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16* | 2024 |
| 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 | 12* | 2024 |
| Similarity Preserving Adversarial Graph Contrastive Learning Y In*, K Yoon*, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| Self-Guided Robust Graph Structure Refinement Y In, K Yoon, K Kim, K Shin, C Park The 2024 ACM Web Conference (WWW 2024), 2024 | 7 | 2024 |
| Class Label-aware Graph Anomaly Detection J Kim, Y In, K Yoon, J Lee, C Park ACM International Conference on Information and Knowledge Management. (Short …, 2023 | 7 | 2023 |
| Learning Multivariate Hawkes Process via Graph Recurrent Neural Network K Yoon*, Y Im*, J Choi, T Jeong, J Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation J Jeon, K Kim, K Yoon, C Park The 18th European Conference on Computer Vision ECCV, 2024 | 1 | 2024 |
| Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems K Kim, S Kim, H Kang, J Kim, H Noh, Y In, K Yoon, J Oh, C Park arXiv preprint arXiv:2503.06238, 2025 | | 2025 |
| Training Robust Graph Neural Networks by Modeling Noise Dependencies Y In, K Yoon, S Yun, K Kim, S Kim, C Park arXiv preprint arXiv:2502.19670, 2025 | | 2025 |
| Weakly Supervised Video Scene Graph Generation via Natural Language Supervision K Kim, K Yoon, Y In, J Jeon, J Moon, D Kim, C Park The Thirteenth International Conference on Learning Representations (ICLR 2025), 2025 | | 2025 |
| Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models Y In, W Kim, K Yoon, S Kim, M Tanjim, K Kim, C Park arXiv preprint arXiv:2502.15086, 2025 | | 2025 |
| RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning K Yoon, K Kim, J Jeon, Y In, D Kim, C Park Thirty-Nineth AAAI Conference on Artificial Intelligence (AAAI-25), 2024 | | 2024 |
| Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness J Kim, J Lee, Y In, K Yoon, C Park The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025), 2024 | | 2024 |
| Debiased Graph Poisoning Attack via Contrastive Surrogate Objective K Yoon, Y In, N Lee, K Kim, C Park ACM International Conference on Information and Knowledge Management (CIKM-2024), 2024 | | 2024 |
| Apparatus and method for controlling graph neural network based on classification into class and degree of graph, and recording medium storing instructions to perform method … C Park, YUN Sukwon, K Kim, Y Kanghoon US Patent App. 18/522,470, 2024 | | 2024 |
| Noise Robust Graph Learning under Feature-Dependent Graph-Noise Y In, K Yoon, K Kim, S Kim, C Park | | 2024 |
Chanyoung ParkAssociate Professor, KAISTVerified email at kaist.ac.kr
