| Graph attention multi-layer perceptron W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 102 | 2022 |
| Node dependent local smoothing for scalable graph learning W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang, B Cui Advances in Neural Information Processing Systems 34, 20321-20332, 2021 | 54 | 2021 |
| Model degradation hinders deep graph neural networks W Zhang, Z Sheng, Z Yin, Y Jiang, Y Xia, J Gao, Z Yang, B Cui Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 34 | 2022 |
| Evaluating deep graph neural networks W Zhang, Z Sheng, Y Jiang, Y Xia, J Gao, Z Yang, B Cui arXiv preprint arXiv:2108.00955, 2021 | 28 | 2021 |
| ROD: reception-aware online distillation for sparse graphs W Zhang, Y Jiang, Y Li, Z Sheng, Y Shen, X Miao, L Wang, Z Yang, B Cui Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 24 | 2021 |
| NAFS: a simple yet tough-to-beat baseline for graph representation learning W Zhang, Z Sheng, M Yang, Y Li, Y Shen, Z Yang, B Cui International Conference on Machine Learning, 26467-26483, 2022 | 22 | 2022 |
| Acceleration algorithms in gnns: A survey L Ma, Z Sheng, X Li, X Gao, Z Hao, L Yang, W Zhang, B Cui arXiv preprint arXiv:2405.04114, 2024 | 2 | 2024 |
| Graph attention MLP with reliable label utilization W Zhang, Z Yin, Z Sheng, W Ouyang, X Li, Y Tao, Z Yang, B Cui arXiv preprint arXiv:2108.10097, 2021 | 2 | 2021 |
| Graph-Enforced Neural Network for Attributed Graph Clustering Z Sheng, W Zhang, W Ouyang, Y Tao, Z Yang, B Cui Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023 | | 2023 |
| HGAMLP: A Scalable Training Framework for Heterogeneous Graph Learning Y Liang, W Zhang, Z Sheng, L Yang, J Jiang, Y Tong, CUI Bin | | |
Bin CUIProfessor of Computer Science, Peking University在 pku.edu.cn 的电子邮件经过验证
