| 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 |
| 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 |
| Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System S Kim, H Kang, S Choi, D Kim, M Yang, C Park arXiv preprint arXiv:2404.11343, 2024 | 1 | 2024 |
| MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement Y Oh, S Yun, D Hyun, S Kim, C Park Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning S Choi, W Kim, S Kim, Y In, S Kim, C Park arXiv preprint arXiv:2402.13711, 2024 | | 2024 |
