| 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 | 134 | 2022 |
| Relational self-supervised learning on graphs N Lee, D Hyun, J Lee, C Park Proceedings of the 31st ACM International Conference on Information …, 2022 | 15 | 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 | 11 | 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 | 11 | 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 | 7 | 2023 |
| 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 | 6 | 2022 |
| Self-supervised graph representation learning via positive mining N Lee, J Lee, C Park Information Sciences 611, 476-493, 2022 | 5 | 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 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 | 1 | 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 | | 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 | | 2023 |
Chanyoung ParkKAISTVerified email at kaist.ac.kr
