Gatgpt: A pre-trained large language model with graph attention network for spatiotemporal imputation Y Chen, X Wang, G Xu arXiv preprint arXiv:2311.14332, 2023 | 15 | 2023 |
Adaptive graph recurrent network for multivariate time series imputation Y Chen, Z Li, C Yang, X Wang, G Long, G Xu International Conference on Neural Information Processing, 64-73, 2022 | 11 | 2022 |
Graph neural network with self-attention and multi-task learning for credit default risk prediction Z Li, X Wang, L Yao, Y Chen, G Xu, EP Lim International Conference on Web Information Systems Engineering, 616-629, 2022 | 3 | 2022 |
Caching hierarchical Skylines for efficient service composition on service graphs H Alhosaini, X Wang, L Yao, Y Chen, G Xu 2022 IEEE International Conference on Services Computing (SCC), 1-9, 2022 | 2 | 2022 |
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation Y Chen, K Shi, Z Wu, J Chen, X Wang, J McAuley, G Xu, S Yu arXiv preprint arXiv:2402.11558, 2024 | 1 | 2024 |
Exploring explicit and implicit graph learning for multivariate time series imputation Y Chen, R Hu, Z Li, C Yang, X Wang, G Long, G Xu Engineering Applications of Artificial Intelligence 127, 107217, 2024 | 1 | 2024 |
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey Z Li, C Yang, Y Chen, X Wang, H Chen, G Xu, L Yao, QZ Sheng arXiv preprint arXiv:2408.14851, 2024 | | 2024 |
Multi-view GCN for loan default risk prediction Z Li, Y Chen, X Wang, L Yao, G Xu Neural Computing and Applications, 1-14, 2024 | | 2024 |
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation Y Chen, K Shi, X Wang, G Xu International Conference on Advanced Data Mining and Applications, 180-194, 2023 | | 2023 |
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification C Yang, Y Chen, Z Li, X Wang International Conference on Advanced Data Mining and Applications, 34-47, 2023 | | 2023 |