LTE4G: Long-Tail Experts for Graph Neural Networks S Yun, K Kim, K Yoon, C Park CIKM 2022, 2022 | 26 | 2022 |
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation K Kim, D Hyun, S Yun, C Park SIGIR 2023, 2023 | 5 | 2023 |
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement Y Oh, S Yun, D Hyun, S Kim, C Park CIKM 2023, 2023 | 1 | 2023 |
Single-cell RNA-seq data imputation using Feature Propagation S Yun, J Lee, C Park ICML 2023 Workshop on Computational Biology, 2023 | 1 | 2023 |
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise T Hasegawa, S Yun, X Liu, YJ Phua, T Murata PAKDD 2024, 2024 | | 2024 |
Toward Generalizability of Graph-based Imputation on Bio-Medical Missing Data S Yun, Y Oh, J Lee, X Liu, T Murata, D Hyun, S Kim, T Chen, C Park | | 2023 |
S-Mixup: Structural Mixup for Graph Neural Networks J Kim, S Yun, C Park CIKM 2023, 2023 | | 2023 |