2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection
Jiazhen Chen, Xiuqin Liang, Sichao Fu +2
Unsupervised graph anomaly detection (GAD) has received increasing attention in recent years, which aims to identify data anomalous patterns utilizing only unlabeled node informati…
cs.LG2022★ 2 cited
GEDI: A Graph-based End-to-end Data Imputation Framework
Katrina Chen, Xiuqin Liang, Zheng Ma +1
Data imputation is an effective way to handle missing data, which is common in practical applications. In this study, we propose and test a novel data imputation process that achie…