LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Summary: LightCTS offers a lightweight CTS forecasting framework for resource-limited devices, prioritizing efficiency over deep models. Using plain stacking of temporal and spatial operators (L-TCN, GL-Former) with last-shot compression, it achieves near-SOTA accuracy at far lower compute and storage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6628
Venue: SIGMOD
Year: 2023
Pagerank: 4.3556432e-05
Overall Rank: 9,324 | 35.14%
DOI: 10.1145/3589270

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,100	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	4.1945683e-05
10,321	DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data	2026	VLDB	4.1945683e-05
10,601	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	4.1945683e-05

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
716	Query-based Workload Forecasting for Self-Driving Database Management Systems	2018	SIGMOD	0.00017723171
785	StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time	2002	VLDB	0.00016664156
2,388	Anytime Stochastic Routing with Hybrid Learning	2020	VLDB	8.9132902e-05
2,427	Optimal Multi-scale Patterns in Time Series Streams	2006	SIGMOD	8.8370658e-05
3,447	Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter	2020	SIGMOD	7.0854131e-05
4,476	Classical and Contemporary Approaches to Big Time Series Forecasting	2019	SIGMOD	6.1517903e-05
5,026	AutoCTS: Automated Correlated Time Series Forecasting	2022	VLDB	5.7528419e-05

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