| MGLNN: Semi-supervised learning via multiple graph cooperative learning neural networks B Jiang, S Chen, B Wang, B Luo Neural Networks 153, 204-214, 2022 | 85 | 2022 |
| Gecns: Graph elastic convolutional networks for data representation B Jiang, B Wang, J Tang, B Luo IEEE transactions on pattern analysis and machine intelligence 44 (9), 4935-4947, 2021 | 17 | 2021 |
| Sparse norm regularized attribute selection for graph neural networks B Jiang, B Wang, B Luo Pattern Recognition 137, 109265, 2023 | 7 | 2023 |
| DropAGG: Robust graph neural networks via drop aggregation B Jiang, Y Chen, B Wang, H Xu, B Luo Neural Networks 163, 65-74, 2023 | 6 | 2023 |
| Spiking gats: Learning graph attentions via spiking neural network B Wang, B Jiang arXiv preprint arXiv:2209.13539, 2022 | 3 | 2022 |
| Generalizing aggregation functions in gnns: Building high capacity and robust gnns via nonlinear aggregation B Wang, B Jiang, J Tang, B Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
| Graph neural network meets sparse representation: Graph sparse neural networks via exclusive group lasso B Jiang, B Wang, S Chen, J Tang, B Luo IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
| Generalizing aggregation functions in gnns: High-capacity gnns via nonlinear neighborhood aggregators B Wang, B Jiang arXiv preprint arXiv:2202.09145, 2022 | 1 | 2022 |
| GmCN: graph mask convolutional network B Jiang, B Wang, J Tang, B Luo arXiv preprint arXiv:1910.01735, 2019 | 1 | 2019 |
| GDCNet: Graph Enrichment Learning via Graph Dropping Convolutional Networks B Jiang, Y Chen, B Wang, H Xu, J Tang IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Data Representation via Attribute Selection-Propagation Neural Network B Wang, B Jiang IEEE Transactions on Signal and Information Processing over Networks, 2023 | | 2023 |
