Ge Zhang

According to our database, Ge Zhang authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification.

Xixun Lin, Zhiheng Zhou, Zhengyin Zhang, Yancheng Chen, Shuai Zhang, Ge Zhang, Shichao Zhu, Lixin Zou, Chuan Zhou, Peng Zhang, Shirui Pan, Yanan Cao

CoRR, May, 2026

Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió

IEEE Trans. Knowl. Data Eng., January, 2026

Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin

IEEE Trans. Inf. Forensics Secur., 2026

Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction.

Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin, Liang Yang

Proceedings of the ACM Web Conference 2026, 2026

Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.

Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu

Proceedings of the ACM Web Conference 2026, 2026

Semi-Supervised Fake News Detection with Mixture of Experts.

Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen

Proceedings of the ACM Web Conference 2026, 2026

Community-Aware Graph Contrastive Learning for Long-Tail Crowdsourcing Truth Inference.

Xiu Susie Fang, Heting Liang, Yuqiong Yi, Xinwei Huang, Guohao Sun, Ge Zhang

Proceedings of the Database Systems for Advanced Applications, 2026

EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment.

Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations.

Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., October, 2025

State of the Art and Potentialities of Graph-level Learning.

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

ACM Comput. Surv., February, 2025

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.

Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu

Proceedings of the ACM on Web Conference 2025, 2025

A Neural Subgraph Counting Method Based on Matching Matrix.

Ru Wang, Guohao Sun, Jiale Lv, Li Yang, Xiu Susie Fang, Ge Zhang

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Global Interpretable Graph-level Anomaly Detection via Prototype.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

CINA: Curvature-Based Integrated Network Alignment with Hypergraph.

Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

A Comprehensive Survey of Graph-level Learning.

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

CoRR, 2023

Minimum Entropy Principle Guided Graph Neural Networks.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.

Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao

ACM Trans. Inf. Syst., 2022

Graph-level Neural Networks: Current Progress and Future Directions.

Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal

CoRR, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.

Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.

Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang

IEEE Trans. Knowl. Data Eng., 2020

2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.

Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018