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Models/MTAD-GAT

MTAD-GAT

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 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· 2020-09-04
98.44
best: 99.21 (TranAd)
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Anomaly DetectiononSMAP
F1· 2020-09-04
88.8
best: 94.1 (DFM (flow matching))
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Anomaly DetectiononSMAP
Recall· 2020-09-04
99.91
best: 99.99 (TranAd)
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Anomaly DetectiononSMAP
Precision· 2020-09-04
79.91
best: 89.7 (DFM (flow matching))
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040

Graphs4 results

Unsupervised Anomaly DetectiononSMAP
AUC· 2020-09-04
98.44
best: 99.21 (TranAd)
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Unsupervised Anomaly DetectiononSMAP
F1· 2020-09-04
88.8
best: 94.1 (DFM (flow matching))
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Unsupervised Anomaly DetectiononSMAP
Recall· 2020-09-04
99.91
best: 99.99 (TranAd)
SOTA
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040
Unsupervised Anomaly DetectiononSMAP
Precision· 2020-09-04
79.91
best: 89.7 (DFM (flow matching))
Multivariate Time-series Anomaly Detection via Graph Attention Network arXiv:2009.02040