| Augmentation-free self-supervised learning on graphs N Lee, J Lee, C Park Proceedings of the AAAI conference on artificial intelligence 36 (7), 7372-7380, 2022 | 214 | 2022 |
| Conditional graph information bottleneck for molecular relational learning N Lee, D Hyun, GS Na, S Kim, J Lee, C Park International Conference on Machine Learning, 18852-18871, 2023 | 26 | 2023 |
| Heterogeneous graph learning for multi-modal medical data analysis S Kim, N Lee, J Lee, D Hyun, C Park Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 5141-5150, 2023 | 26 | 2023 |
| Relational self-supervised learning on graphs N Lee, D Hyun, J Lee, C Park Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 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 | 17 | 2023 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning J Lee, S Kim, D Hyun, N Lee, Y Kim, C Park Bioinformatics 39 (6), btad342, 2023 | 15 | 2023 |
| Self-supervised graph representation learning via positive mining N Lee, J Lee, C Park Information Sciences 611, 476-493, 2022 | 11 | 2022 |
| Grafn: Semi-supervised node classification on graph with few labels via non-parametric distribution assignment J Lee, Y Oh, Y In, N Lee, D Hyun, C Park Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11 | 2022 |
| Task-equivariant graph few-shot learning S Kim, J Lee, N Lee, W Kim, S Choi, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Density of states prediction of crystalline materials via prompt-guided multi-modal transformer N Lee, H Noh, S Kim, D Hyun, GS Na, C Park Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Task Relation-aware Continual User Representation Learning S Kim, N Lee, D Kim, M Yang, C Park Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Predicting density of states via multi-modal transformer N Lee, H Noh, S Kim, D Hyun, GS Na, C Park arXiv preprint arXiv:2303.07000, 2023 | 2 | 2023 |
| Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models N Lee, S Laghuvarapu, C Park, J Sun Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Stoichiometry Representation Learning with Polymorphic Crystal Structures N Lee, H Noh, GS Na, T Fu, J Sun, C Park arXiv preprint arXiv:2312.13289, 2023 | 1 | 2023 |
| 3D Interaction Geometric Pre-training for Molecular Relational Learning N Lee, Y Oh, H Noh, GS Na, M Xu, H Wang, T Fu, C Park arXiv preprint arXiv:2412.02957, 2024 | | 2024 |
| Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge H Noh, N Lee, GS Na, C Park arXiv preprint arXiv:2410.21341, 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 and …, 2024 | | 2024 |
| Protein-Mamba: Biological Mamba Models for Protein Function Prediction B Xu, Y Lu, Y Inoue, N Lee, T Fu, J Chen arXiv preprint arXiv:2409.14617, 2024 | | 2024 |
| Subgraph Federated Learning for Local Generalization S Kim, Y Lee, C Yang, Y Oh, N Lee, S Yun, J Lee, S Kim, C Park FedKDD: International Joint Workshop on Federated Learning for Data Mining …, 2024 | | 2024 |
| Molecule Language Model with Augmented Pairs and Expertise Transfer N Lee, S Laghuvarapu, C Park, J Sun ACL 2024 Workshop Language+ Molecules, 2024 | | 2024 |
Chanyoung ParkKAISTAdresse e-mail validée de kaist.ac.kr