| Temporal graph networks for graph anomaly detection in financial networks Y Kim, Y Lee, M Choe, S Oh, Y Lee arXiv preprint arXiv:2404.00060, 2024 | 5 | 2024 |
| Multi-attention recommender system for non-fungible tokens Y Kim, S Kim, Y Lee, J Hong, Y Lee Engineering Applications of Artificial Intelligence 137, 109179, 2024 | 4* | 2024 |
| Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling Y Lee, Y Kim, J Sanz-Cruzado, R Mccreadie, Y Lee Proceedings of the 5th ACM International Conference on AI in Finance, 795-803, 2024 | 2* | 2024 |
| A Temporal Graph Network Framework for Dynamic Recommendation Y Kim, Y Lee, V Yuan, A Lee, Y Lee arXiv preprint arXiv:2403.16066, 2024 | 1 | 2024 |
Yongjae LeeAssociate Professor, UNIST IE & AIGSVerified email at unist.ac.kr
