E-GCN: graph convolution with estimated labels J Qin, X Zeng, S Wu, E Tang Applied Intelligence 51, 5007-5015, 2021 | 11 | 2021 |
Multi-semantic alignment graph convolutional network J Qin, X Zeng, S Wu, Y Zou Connection Science 34 (1), 2313-2331, 2022 | 5 | 2022 |
Feature recommendation strategy for graph convolutional network J Qin, X Zeng, S Wu, Y Zou Connection Science 34 (1), 1697-1718, 2022 | 4 | 2022 |
Context-sensitive graph representation learning J Qin, X Zeng, S Wu, Y Zou International Journal of Machine Learning and Cybernetics 14 (6), 2193-2203, 2023 | 1 | 2023 |
Structural reinforcement-based graph convolutional networks J Qin, Q Wang, T Tao Connection Science 34 (1), 2807-2821, 2022 | 1 | 2022 |
Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces J Qin, Z Liu, W Sui, T Peng, S Zhao 2024 International Applied Computational Electromagnetics Society Symposium …, 2024 | | 2024 |
Modeling Heterogeneity with Flexible and Semantic Aligned Graph Neural Networks W Sui, Z Liu, S Zhao, J Qin 2024 International Applied Computational Electromagnetics Society Symposium …, 2024 | | 2024 |