| EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks Z Liu, D Yang, Y Wang, M Lu, R Li Applied Soft Computing 135, 110040, 2023 | 75 | 2023 |
| Internet financial fraud detection based on graph learning R Li, Z Liu, Y Ma, D Yang, S Sun IEEE Transactions on Computational Social Systems 10 (3), 1394-1401, 2022 | 38 | 2022 |
| Adaptive multi-channel Bayesian graph attention network for IoT transaction security Z Liu, D Yang, S Wang, H Su Digital Communications and Networks, 2022 | 19 | 2022 |
| RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism Z Zhao, Z Liu, Y Wang, D Yang, W Che Expert Systems with Applications, 122945, 2023 | 2 | 2023 |
| Establishing a nutrition calculation model for catering food according to the influencing factors of energy and nutrient content in food processing N Li, L Cong, H Wang, Y Chen, Z Liu, M Li, D Yang, H Li, H Fang Frontiers in Nutrition 11, 1388645, 2024 | | 2024 |
| Graph Structure Learning With Automatic Search of Hyperparameters Based on Genetic Programming P Wang, M Lu, W Yan, D Yang, Z Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| Adaptive multi-channel Bayesian Graph Neural Network D Yang, Z Liu, Y Wang, J Xu, W Yan, R Li Neurocomputing 575, 127260, 2024 | | 2024 |
