| PDA-GNN: propagation-depth-aware graph neural networks for recommendation X Wu, H He, H Yang, Y Tai, Z Wang, W Zhang World Wide Web 26 (5), 3585-3606, 2023 | 10 | 2023 |
| Predicting information diffusion using the inter-and intra-path of influence transitivity Y Tai, H He, W Zhang, H Yang, X Wu, Y Wang Information Sciences 651, 119705, 2023 | 1 | 2023 |
| A Representation Learning Link Prediction Approach Using Line Graph Neural Networks Y Tai, H Yang, H He, X Wu, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 195-207, 2023 | 1 | 2023 |
| How to Bridge Graph and Sequence Patterns in Session-Based Recommendation? A Self-Supervised Method X Wu, H He, Z Wang, Y Tai, S Yin, H Yang, W Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Topic-Aware Masked Attentive Network for Information Cascade Prediction Y Tai, H Yang, H He, X Wu, Y Shao, W Zhang, AK Sangaiah ACM Transactions on Asian and Low-Resource Language Information Processing, 2024 | | 2024 |
| Multi-behavior Enhanced Graph Neural Networks for Social Recommendation X Wu, A Huang, H Yang, H He, Y Tai, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 40-52, 2023 | | 2023 |
| Multi-modal Graph and Sequence Fusion Learning for Recommendation Z Wang, X Wu, H Yang, H He, Y Tai, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 357-369, 2023 | | 2023 |
| A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction Y Shao, H He, Y Tai, X Wu, H Yang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 182-194, 2023 | | 2023 |
