Keyu Duan

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Fuzhen Zhuang (庄福振)Professor at Institute of Artificial Intelligence, Beihang UniversityVerified email at buaa.edu.cn
Dongbo XiMeituanVerified email at meituan.com
He QingInstitute of Computing Technology,Chinese Academy of SciencesVerified email at ict.ac.cn
Hengshu Zhu 祝恒书Head of Career Science Lab (CSL), BOSS Zhipin/Baidu TIC/USTCVerified email at kanzhun.com
Hui Xiong, Fellow of AAAS and IEEERutgers University/Baidu/HKUSTVerified email at ust.hk
Kaixiong ZhouMIT, NCSUVerified email at ncsu.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Tianlong ChenIncoming Asst. Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinVerified email at mit.edu
Wenqing ZhengThe University of Texas at AustinVerified email at utexas.edu
Peihao WangUniversity of Texas at AustinVerified email at utexas.edu
Zirui LiuRice UniversityVerified email at rice.edu
Yongchun ZhuByteDanceVerified email at ict.ac.cn

Keyu Duan

PhD. Student, Computer Science, National Univeristy of Singapore

Verified email at u.nus.edu - Homepage

Graph Mining Machine Learning Graph Neural Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	4555	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	55	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	42	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	25	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	18	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	14	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	2	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	1	2019

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