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ORCIDGe Zhang 0002
Person information
- affiliation: Macquarie University, Sydney, NSA, Australia
Other persons with the same name
- Ge Zhang — disambiguation page
- Ge Zhang 0001 — Karlstad University, Karlstad, Sweden
- Ge Zhang 0003 — Massachusetts Institute of Technology, MIT, Department of Chemical Engineering, Cambridge, MA, USA
- Ge Zhang 0004
![[0000-0003-3053-1630]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3053-1630")
— Xinjiang University, Urumqi, China - Ge Zhang 0005 — University of Kaiserslautern, Department of Computer Science, Integrated Communication Systems Lab, Germany
- Ge Zhang 0006 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Ge Zhang 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Computer System and Architecture, Beijing, China
- Ge Zhang 0008 — Henan University of Chinese Medicine, School of Information Engineering, Zhengzhou, China (and 1 more)
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2020 – today
- 2025
[j3]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. 57(2): 28:1-28:40 (2025)- 2024
- [c5]Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang:
CINA: Curvature-Based Integrated Network Alignment with Hypergraph. ICDE 2024: 2709-2722 - 2023
- [c4]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su:
Minimum Entropy Principle Guided Graph Neural Networks. WSDM 2023: 114-122 - [i2]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - 2022
- [j2]Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao:
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40(3): 47:1-47:29 (2022) - [c3]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [i1]Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal:
Graph-level Neural Networks: Current Progress and Future Directions. CoRR abs/2205.15555 (2022) - 2021
- [c2]Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876 - 2020
- [j1]Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang:
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Trans. Knowl. Data Eng. 32(11): 2144-2158 (2020)
2010 – 2019
- 2018
- [c1]Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang:
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. IJCAI 2018: 3648-3654
Coauthor Index
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