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GDN

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Anomaly DetectiononSMAP
AUC· 2021-06-13
98.64
best: 99.21 (TranAd)
SOTA
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Anomaly DetectiononSMAP
F1· 2021-06-13
85.18
best: 94.1 (DFM (flow matching))
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Anomaly DetectiononSMAP
Precision· 2021-06-13
74.8
best: 89.7 (DFM (flow matching))
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Anomaly DetectiononSMAP
Recall· 2021-06-13
98.91
best: 99.99 (TranAd)
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947

Graphs4 results

Unsupervised Anomaly DetectiononSMAP
AUC· 2021-06-13
98.64
best: 99.21 (TranAd)
SOTA
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Unsupervised Anomaly DetectiononSMAP
F1· 2021-06-13
85.18
best: 94.1 (DFM (flow matching))
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Unsupervised Anomaly DetectiononSMAP
Precision· 2021-06-13
74.8
best: 89.7 (DFM (flow matching))
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947
Unsupervised Anomaly DetectiononSMAP
Recall· 2021-06-13
98.91
best: 99.99 (TranAd)
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arXiv:2106.06947