| A comprehensive survey on transfer learning F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He Proceedings of the IEEE 109 (1), 43-76, 2020 | 4976 | 2020 |
| Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study T Chen, K Zhou, K Duan, W Zheng, P Wang, X Hu, Z Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2769-2781, 2022 | 63 | 2022 |
| A comprehensive study on large-scale graph training: Benchmarking and rethinking K Duan, Z Liu, P Wang, W Zheng, K Zhou, T Chen, X Hu, Z Wang Advances in Neural Information Processing Systems 35, 5376-5389, 2022 | 44 | 2022 |
| Simteg: A frustratingly simple approach improves textual graph learning K Duan, Q Liu, TS Chua, S Yan, WT Ooi, Q Xie, J He arXiv preprint arXiv:2308.02565, 2023 | 34 | 2023 |
| Contrastive knowledge graph error detection Q Zhang, J Dong, K Duan, X Huang, Y Liu, L Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| Hierarchy-aware multi-hop question answering over knowledge graphs J Dong, Q Zhang, X Huang, K Duan, Q Tan, Z Jiang Proceedings of the ACM Web Conference 2023, 2519-2527, 2023 | 19 | 2023 |
| Benchmarking Large-Scale Graph Training Over Effectiveness And Efficiency K Duan, Z Liu, W Zheng, P Wang, K Zhou, T Chen, Z Wang, X Hu | 5 | 2022 |
| Transfer learning toolkit: Primers and benchmarks F Zhuang, K Duan, T Guo, Y Zhu, D Xi, Z Qi, Q He arXiv preprint arXiv:1911.08967, 2019 | 4 | 2019 |
| Interest driven graph structure learning for session-based recommendation H Zhou, S Zhou, K Duan, X Huang, Q Tan, Z Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 284-296, 2023 | 3 | 2023 |
| Graph neural networks: Automl K Zhou, Z Liu, K Duan, X Hu Graph Neural Networks: Foundations, Frontiers, and Applications, 371-389, 2022 | 2 | 2022 |
| Automated Process for Satellite Reliability Assessment Z Wang, K Duan, D Zhao, H Li Proceedings of the 1st World Symposium on Software Engineering, 64-67, 2019 | 2 | 2019 |
| GraphFM: A Comprehensive Benchmark for Graph Foundation Model Y Xu, X Liu, K Duan, Y Fang, YN Chuang, D Zha, Q Tan arXiv preprint arXiv:2406.08310, 2024 | | 2024 |
| Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Q Zhang, K Duan, J Dong, P Zheng, X Huang arXiv preprint arXiv:2406.01140, 2024 | | 2024 |
Fuzhen Zhuang (庄福振)Professor at Institute of Artificial Intelligence, Beihang University在 buaa.edu.cn 的电子邮件经过验证
