DBScholar

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
hca29f7e2ce0c81c7
Venue
VLDB
Year
2020
Pagerank
8.5517908e-05
Overall Rank
2,376 | 84.04%
DOI
10.14778/3407790.3407792
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{boniol_vldb20,
        title = {{Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series}},
        author = {Boniol, Paul and Palpanas, Themis},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {1821--1834},
        doi = {10.14778/3407790.3407792},
        url = {https://doi.org/10.14778/3407790.3407792},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 27 of 27 citing papers.

Rank Citing Paper Year Venue Pagerank
1,005 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB 0.00012584107
1,545 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010299696
1,629 SAND: Streaming Subsequence Anomaly Detection 2021 VLDB 0.0001003165
1,938 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.334286e-05
2,264 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.7286407e-05
2,872 Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art 2025 SIGMOD 7.9191725e-05
3,299 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.441222e-05
3,728 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 7.0667899e-05
4,305 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.6740088e-05
5,561 ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection 2024 VLDB 6.0820916e-05
6,201 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB 5.8499497e-05
6,612 Dumpy: A Compact and Adaptive Index for Large Data Series Collections 2023 SIGMOD 5.732933e-05
8,405 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 5.3370629e-05
9,449 Odyssey: A Journey in the Land of Distributed Data Series Similarity Search 2023 VLDB 5.1747125e-05
9,493 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.168414e-05
9,575 TAB: Unified Benchmarking of Time Series Anomaly Detection Methods 2025 VLDB 5.154741e-05
9,633 Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection 2022 VLDB 5.1459383e-05
9,667 dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification 2022 SIGMOD 5.142891e-05
10,480 HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series 2026 SIGMOD 4.9769913e-05
11,062 Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching 2026 VLDB 4.9769913e-05
11,257 Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach 2025 VLDB 4.9769913e-05
11,370 DIM-SUM: Dynamic Imputation for Smart Utility Management 2025 VLDB 4.9769913e-05
11,457 MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection 2025 VLDB 4.9769913e-05
11,723 LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation 2023 SIGMOD 4.9769913e-05
11,755 Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances 2023 VLDB 4.9769913e-05
12,009 Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test 2021 VLDB 4.9769913e-05
13,782 SAND in Action: Subsequence Anomaly Detection for Streams 2021 VLDB -
Previous Page 1 / 1 Next

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.

Rank Cited Paper Year Venue Pagerank
142 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.00029189529
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00029001141
2,360 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.5774153e-05
2,730 Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search 2020 VLDB 8.0842027e-05
2,870 The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art 2019 VLDB 7.919641e-05
4,305 Data Series Progressive Similarity Search with Probabilistic Quality Guarantees 2020 SIGMOD 6.6740088e-05
6,201 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB 5.8499497e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 5,118 TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms 2022 VLDB
2 13,782 SAND in Action: Subsequence Anomaly Detection for Streams 2021 VLDB
3 11,257 Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach 2025 VLDB
4 11,457 MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection 2025 VLDB
5 8,406 Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data 2007 VLDB
6 9,499 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB
7 6,075 AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data 2024 VLDB
8 6,272 An Experimental Evaluation of Anomaly Detection in Time Series 2024 VLDB
9 1,005 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB
10 6,201 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB