Back to papers
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series
Summary: Unsupervised, domain-agnostic subsequence anomaly detection for time series. Series2Graph forms a graph on a low-dimensional subsequence embedding to detect single and recurrent anomalies of varying length, without labels, and outperforms baselines in accuracy and speed.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12083
- Venue
- VLDB
- Year
- 2020
- Pagerank
- 8.3751681e-05
- Overall Rank
- 2,646 | 81.62%
- DOI
-
10.14778/3407790.3407792
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,253 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00013019488 |
| 1,640 |
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series |
2021 |
VLDB |
0.00011048873 |
| 2,032 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.7320795e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9241557e-05 |
| 3,403 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1338786e-05 |
| 3,946 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6036232e-05 |
| 4,082 |
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series |
2023 |
VLDB |
6.4601453e-05 |
| 4,524 |
Data Series Progressive Similarity Search with Probabilistic Quality Guarantees |
2020 |
SIGMOD |
6.1091797e-05 |
| 4,622 |
Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art |
2025 |
SIGMOD |
6.0356382e-05 |
| 5,785 |
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection |
2024 |
VLDB |
5.3257637e-05 |
| 6,115 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.1995458e-05 |
| 7,090 |
Dumpy: A Compact and Adaptive Index for Large Data Series Collections |
2023 |
SIGMOD |
4.8318862e-05 |
| 8,161 |
TOD: GPU-accelerated Outlier Detection via Tensor Operations |
2023 |
VLDB |
4.5688249e-05 |
| 9,208 |
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search |
2023 |
VLDB |
4.3693005e-05 |
| 9,299 |
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection |
2022 |
VLDB |
4.356626e-05 |
| 9,336 |
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification |
2022 |
SIGMOD |
4.351469e-05 |
| 10,320 |
Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching |
2026 |
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 |
| 10,745 |
TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection |
2025 |
VLDB |
4.1905499e-05 |
| 10,751 |
DIM-SUM: Dynamic IMputation for Smart Utility Management |
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 |
| 11,202 |
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,237 |
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances |
2023 |
VLDB |
4.1905499e-05 |
| 11,504 |
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test |
2021 |
VLDB |
4.1905499e-05 |
| 13,274 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,183 |
TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms |
2022 |
VLDB |
4.8026282e-05 |
| 13,274 |
SAND in Action: Subsequence Anomaly Detection for Streams |
2021 |
VLDB |
- |
| 10,588 |
Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach |
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 |
| 8,226 |
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data |
2007 |
VLDB |
4.5505782e-05 |
| 11,097 |
Time-Series Anomaly Detection: Overview and New Trends |
2024 |
VLDB |
4.1905499e-05 |
| 6,419 |
AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data |
2024 |
VLDB |
5.0621949e-05 |
| 6,435 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0555305e-05 |
| 1,253 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00013019488 |
| 6,115 |
GraphAn: Graph-based Subsequence Anomaly Detection |
2020 |
VLDB |
5.1995458e-05 |