AutoCTS: Automated Correlated Time Series Forecasting

Summary: AutoCTS automates correlated time series forecasting by jointly searching micro-level ST-blocks and macro-level topologies. It evolves heterogeneous ST-block architectures and diverse connections, outperforming state-of-the-art human-designed models on eight CTS benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12966
Venue: VLDB
Year: 2022
Pagerank: 5.7528419e-05
Overall Rank: 5,026 | 65.04%
DOI: 10.14778/3503585.3503604

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,298	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	9.0742746e-05
3,234	BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks	2024	VLDB	7.3355287e-05
3,869	MagicScaler: Uncertainty-aware, Predictive Autoscaling	2023	VLDB	6.6802432e-05
5,438	Multiple Time Series Forecasting with Dynamic Graph Modeling	2024	VLDB	5.5033018e-05
6,589	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	5.001285e-05
8,224	TSGBench: Time Series Generation Benchmark	2024	VLDB	4.5552948e-05
8,985	TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications	2023	VLDB	4.4156106e-05
9,324	LightCTS: A Lightweight Framework for Correlated Time Series Forecasting	2023	SIGMOD	4.3556432e-05
10,593	Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data	2025	VLDB	4.1945683e-05
11,041	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models	2024	VLDB	4.1945683e-05
11,144	Weakly Guided Adaptation for Robust Time Series Forecasting	2024	VLDB	4.1945683e-05
11,200	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation	2023	SIGMOD	4.1945683e-05
13,113	Fully Automated Correlated Time Series Forecasting in Minutes	2025	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2,388	Anytime Stochastic Routing with Hybrid Learning	2020	VLDB	8.9132902e-05
2,839	VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition	2021	VLDB	8.0378978e-05
4,957	Doing More with Less: Characterizing Dataset Downsampling for AutoML	2021	VLDB	5.8035715e-05
5,468	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles	2022	VLDB	5.4902013e-05
8,305	Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models	2013	VLDB	4.5435639e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
4,476	Classical and Contemporary Approaches to Big Time Series Forecasting	2019	SIGMOD	6.1517903e-05
13,115	A Memory Guided Transformer for Time Series Forecasting	2025	VLDB	-
2,298	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	9.0742746e-05
6,423	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB	5.0670573e-05
3,934	SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting	2023	VLDB	6.6175631e-05
5,438	Multiple Time Series Forecasting with Dynamic Graph Modeling	2024	VLDB	5.5033018e-05
13,113	Fully Automated Correlated Time Series Forecasting in Minutes	2025	VLDB	-
9,324	LightCTS: A Lightweight Framework for Correlated Time Series Forecasting	2023	SIGMOD	4.3556432e-05
3,184	AutoAI-TS: AutoAI for Time Series Forecasting	2021	SIGMOD	7.4198086e-05
6,589	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	5.001285e-05