most citedGEDI: A Graph-based End-to-end Data Imputation Framework

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2024

Towards Cross-domain Few-shot Graph Anomaly Detection

Jiazhen Chen, Sichao Fu, Zhibin Zhang +4

Few-shot graph anomaly detection (GAD) has recently garnered increasing attention, which aims to discern anomalous patterns among abundant unlabeled test nodes under the guidance o…

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…