| Deep reinforcement learning guided graph neural networks for brain network analysis X Zhao, J Wu, H Peng, A Beheshti, JJM Monaghan, D McAlpine, ... Neural Networks 154, 56-67, 2022 | 33 | 2022 |
| Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation X Zhao, Q Dai, J Wu, H Peng, M Liu, X Bai, J Tan, S Wang, PS Yu IEEE Transactions on Knowledge and Data Engineering (TKDE) 35 (4), 4077-4091, 2022 | 31 | 2022 |
| RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis X Zhao, H Peng, Q Dai, X Bai, H Peng, Y Liu, Q Guo, PS Yu ACM International Conference on Web Search and Data Mining (WSDM), 976-984, 2023 | 4 | 2023 |
| Reinforced GNNs for Multiple Instance Learning X Zhao, Q Dai, X Bai, J Wu, H Peng, H Peng, Z Yu, PS Yu IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 | | 2024 |
| Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction X Zhao, H Liu, Q Dai, H Peng, X Bai, H Peng IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 785-792, 2023 | | 2023 |
Hao PengBeihang University, Professor在 buaa.edu.cn 的电子邮件经过验证
Hao PengBeihang University, Professor在 buaa.edu.cn 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证