| 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 | 26 | 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 | 10 | 2022 |
| Similarity Preserving Adversarial Graph Contrastive Learning Y In*, K Yoon*, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| 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 | 3 | 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 | | 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 | | 2024 |
| Weakly Supervised Fine-grained Scene Graph Generation via Large Language Model K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park arXiv preprint arXiv:2310.10404, 2023 | | 2023 |
| Noise Robust Graph Learning under Feature-Dependent Graph-Noise Y In, K Yoon, K Kim, S Kim, C Park | | 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 arXiv e-prints, arXiv: 2310.10404, 2023 | | 2023 |
| 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 | | 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 | | 2023 |
Chanyoung ParkKAISTVerified email at kaist.ac.kr
