| Disentangled motif-aware graph learning for phrase grounding Z Mu, S Tang, J Tan, Q Yu, Y Zhuang Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13587 …, 2021 | 32 | 2021 |
| Learning hybrid behavior patterns for multimedia recommendation Z Mu, Y Zhuang, J Tan, J Xiao, S Tang Proceedings of the 30th ACM International Conference on Multimedia, 376-384, 2022 | 29 | 2022 |
| Graph neural networks meet with distributed graph partitioners and reconciliations Z Mu, S Tang, C Zong, D Yu, Y Zhuang Neurocomputing 518, 408-417, 2023 | 5 | 2023 |
| Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training Z Mu, S Tang, Y Zhuang, D Yu Neural Networks, 2023 | 3 | 2023 |
| Graph Neural Networks in Computer Vision S Tang, W Zhang, Z Mu, K Shen, J Li, J Li, L Wu Graph Neural Networks: Foundations, Frontiers, and Applications, 447-462, 2022 | 1 | 2022 |
| Position-aware compositional embeddings for compressed recommendation systems Z Mu, Y Zhuang, S Tang Neurocomputing 592, 127677, 2024 | | 2024 |
| Contrastive Hawkes graph neural networks with dynamic sampling for event prediction Z Mu, Y Zhuang, S Tang Neurocomputing 575, 127265, 2024 | | 2024 |
