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TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Summary: TranAD: transformer-based anomaly detection for multivariate time series. Unique: attention-based encoders, self-conditioning, adversarial training, and MAML for limited-data learning; gains up to 17% F1 and 99% faster training on six datasets.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12630
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 9.0934125e-05
- Overall Rank
- 2,290 | 84.08%
- DOI
-
10.14778/3514061.3514067
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,234 |
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks |
2024 |
VLDB |
7.3355287e-05 |
| 5,777 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
5.3308813e-05 |
| 6,440 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0603878e-05 |
| 6,451 |
Multivariate Time Series Cleaning under Speed Constraints |
2024 |
SIGMOD |
5.0583324e-05 |
| 7,152 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
4.8154191e-05 |
| 7,933 |
Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach |
2024 |
VLDB |
4.613363e-05 |
| 8,286 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5435639e-05 |
| 10,081 |
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,211 |
SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,331 |
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance |
2026 |
VLDB |
4.1945683e-05 |
| 10,466 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,511 |
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,569 |
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains |
2025 |
VLDB |
4.1945683e-05 |
| 10,579 |
Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach |
2025 |
VLDB |
4.1945683e-05 |
| 10,637 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
4.1945683e-05 |
| 10,835 |
Large Language Models for Spatial Analysis Queries |
2025 |
VLDB |
4.1945683e-05 |
| 10,876 |
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |
| 11,059 |
DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series |
2024 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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