most citedLearning Graph Neural Networks for Multivariate Time Series Anomaly Detection

5 citations · 5 across the 3 of their papers we have counts for

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cs.LG2026

Let Training Guide Selection: Online Synthetic Data Filtering via Real-Anchored Utility

Yanran Wu, Sana Lakdawala, Renzo Tassara Miller +6

Synthetic data can scale training supervision when real-world data are limited, but noise and distribution mismatch can reduce its value. Existing synthetic data selection methods…

cs.LG2021★ 5 cited

Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection

Saswati Ray, Sana Lakdawala, Mononito Goswami +1

In this work, we propose GLUE (Graph Deviation Network with Local Uncertainty Estimation), building on the recently proposed Graph Deviation Network (GDN). GLUE not only automatica…