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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
- 12631
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 9.0922439e-05
- Overall Rank
- 2,289 | 84.10%
- 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 |
| 3,237 |
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks |
2024 |
VLDB |
7.3284717e-05 |
| 5,785 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
5.3257637e-05 |
| 6,435 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0555305e-05 |
| 6,447 |
Multivariate Time Series Cleaning under Speed Constraints |
2024 |
SIGMOD |
5.0534784e-05 |
| 7,143 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
4.8143774e-05 |
| 7,483 |
Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach |
2024 |
VLDB |
4.7135369e-05 |
| 8,279 |
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting |
2023 |
VLDB |
4.5392079e-05 |
| 10,081 |
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,211 |
SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,343 |
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance |
2026 |
VLDB |
4.1905499e-05 |
| 10,476 |
A Structured Study of Multivariate Time-Series Distance Measures |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,520 |
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,578 |
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains |
2025 |
VLDB |
4.1905499e-05 |
| 10,588 |
Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach |
2025 |
VLDB |
4.1905499e-05 |
| 10,645 |
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods |
2025 |
VLDB |
4.1905499e-05 |
| 10,839 |
Large Language Models for Spatial Analysis Queries |
2025 |
VLDB |
4.1905499e-05 |
| 10,880 |
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 11,062 |
DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series |
2024 |
VLDB |
4.1905499e-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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