Ziwei Zhang

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Wenwu ZhuProfessor, Computer Science, Tsinghua UniverisityVerified email at tsinghua.edu.cn
Xin WangDepartment of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Haoyang LiPostdoctoral Associate, Cornell UniversityVerified email at med.cornell.edu
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Yijian Qin清华大学Verified email at mails.tsinghua.edu.cn
Xiao WangProfessor, Beihang UniversityVerified email at buaa.edu.cn
Zeyang ZhangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Hong ChenPhD. student in Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Ruobing XieSenior researcher, TencentVerified email at tencent.com
Jianxin MaAlibaba Group; Tsinghua UniversityVerified email at alibaba-inc.com
Heng ChangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xu ChuPeking UniversityVerified email at pku.edu.cn
Jiashuo LiuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Haoxin LiuGeorgia Institute of TechnologyVerified email at gatech.edu
Pengtao XieAssistant Professor, UC San Diego; Adjunct Faculty, MBZUAIVerified email at eng.ucsd.edu
Fang ShenAlibaba GroupVerified email at alibaba-inc.com
Rex (Zhitao) YingYale UniversityVerified email at yale.edu
Daixin WangTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Zhiqiang ZhangAnt GroupVerified email at antfin.com

Ziwei Zhang

Associate Professor, School of Computer Science and Engineering, Beihang University, China

Verified email at buaa.edu.cn - Homepage

Graph Neural Networks Data Mining Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning on graphs: A survey Z Zhang, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering 34 (1), 249-270, 2020	1774	2020
Asymmetric Transitivity Preserving Graph Embedding M Ou, P Cui, J Pei, Z Zhang, W Zhu 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016	1558	2016
Robust Graph Convolutional Networks Against Adversarial Attacks D Zhu, Z Zhang, P Cui, W Zhu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	469	2019
Arbitrary-Order Proximity Preserved Network Embedding Z Zhang, P Cui, X Wang, J Pei, X Yao, W Zhu 24th ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2018	228	2018
High-order proximity preserved embedding for dynamic networks D Zhu, P Cui, Z Zhang, J Pei, W Zhu IEEE Transactions on Knowledge and Data Engineering 30 (11), 2134-2144, 2018	158	2018
TIMERS: Error-Bounded SVD Restart on Dynamic Networks Z Zhang, P Cui, J Pei, X Wang, W Zhu Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018	128	2018
Ood-gnn: Out-of-distribution generalized graph neural network H Li, X Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering, 2022	116	2022
Billion-scale Network Embedding with Iterative Random Projection Z Zhang, P Cui, H Li, X Wang, W Zhu 2018 IEEE International Conference on Data Mining (ICDM), 787-796, 2018	107	2018
Disentangled contrastive learning on graphs H Li, X Wang, Z Zhang, Z Yuan, H Li, W Zhu Advances in Neural Information Processing Systems 34, 21872-21884, 2021	98	2021
Learning invariant graph representations for out-of-distribution generalization H Li, Z Zhang, X Wang, W Zhu Advances in Neural Information Processing Systems 35, 11828-11841, 2022	95	2022
Out-Of-Distribution Generalization on Graphs: A Survey H Li, X Wang, Z Zhang, W Zhu arXiv preprint arXiv:2202.07987, 2022	93	2022
Automated Machine Learning on Graphs: A Survey Z Zhang, X Wang, W Zhu Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021	89	2021
Intention-aware sequential recommendation with structured intent transition H Li, X Wang, Z Zhang, J Ma, P Cui, W Zhu IEEE Transactions on Knowledge and Data Engineering 34 (11), 5403-5414, 2021	66	2021
Dynamic graph neural networks under spatio-temporal distribution shift Z Zhang, X Wang, Z Zhang, H Li, Z Qin, W Zhu Advances in Neural Information Processing Systems 35, 6074-6089, 2022	65	2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Z Zhang, Z Zhang, X Wang, W Zhu Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence …, 2022	49	2022
Improving accuracy and diversity in matching of recommendation with diversified preference network R Xie, Q Liu, S Liu, Z Zhang, P Cui, B Zhang, L Lin IEEE Transactions on Big Data 8 (4), 955-967, 2021	38	2021
Autogl: A library for automated graph learning Z Zhang, Y Qin, Z Zhang, C Guan, J Cai, H Chang, J Jiang, H Li, Z Sun, ... arXiv preprint arXiv:2104.04987, 2021	36	2021
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? Z Zhang, X Wang, Z Zhang, H Li, Y Qin, W Zhu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024	35*	2024
Eigen-gnn: A graph structure preserving plug-in for gnns Z Zhang, P Cui, J Pei, X Wang, W Zhu IEEE Transactions on Knowledge and Data Engineering 35 (3), 2544-2555, 2021	34	2021
Disentangled graph contrastive learning with independence promotion H Li, Z Zhang, X Wang, W Zhu IEEE Transactions on Knowledge and Data Engineering 35 (8), 7856-7869, 2022	31	2022

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