Zhenyu Yang

13 papers A* 4A 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction.
WWW
Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin, Liang Yang
2026 J jnl
Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió
2026 J jnl
Learning Subgraph-Based Normality for Interpretable Graph-Level Anomaly Detection.
IEEE Trans. Inf. Forensics Secur.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang, Hao Peng, Xixun Lin
2026 A* conf
Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning.
WWW
Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu
2026 A* conf
Semi-Supervised Fake News Detection with Mixture of Experts.
WWW
Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen
2025 J jnl
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang
2025 — conf
Global Interpretable Graph-level Anomaly Detection via Prototype.
KDD (2)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
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
2023 J jnl
A Comprehensive Survey of Graph-level Learning.
CoRR
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
2023 A conf
Minimum Entropy Principle Guided Graph Neural Networks.
WSDM
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
2022 A* conf
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
NeurIPS
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022 J jnl
Low-rank and sparse representation based learning for cancer survivability prediction.
Inf. Sci.
Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang
2020 — conf
Multi-view learning for context-aware extractive summarization.
SSCI
Zhenyu Yang, Jie Yang, Brian Yecies, Wanqing Li