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A Memory Guided Transformer for Time Series Forecasting
Summary: Memformer: a Memory Guided Transformer that fuses patch-wise recurrent graph learning with global attention to model dynamic, time-varying correlations in long multivariate series. Uses an Alternating Memory Enhancer to reconcile local/global signals and robustly handle disrupted correlations, yielding SOTA long-term forecasts.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13888
- Venue
- VLDB
- Year
- 2025
- Pagerank
- -
- Overall Rank
- 13,129 | 8.76%
- DOI
-
10.14778/3705829.3705842
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 3,318 |
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods |
2024 |
VLDB |
7.5863696e-05 |
| 3,638 |
Anytime Stochastic Routing with Hybrid Learning |
2020 |
VLDB |
7.3052035e-05 |
| 5,995 |
Multiple Time Series Forecasting with Dynamic Graph Modeling |
2024 |
VLDB |
6.0777165e-05 |
| 6,347 |
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting |
2023 |
SIGMOD |
5.9685651e-05 |
| 10,609 |
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching |
2025 |
VLDB |
5.1725247e-05 |
| 10,637 |
TEAM: Topological Evolution-aware Framework for Traffic Forecasting |
2025 |
VLDB |
5.1725247e-05 |
| 11,044 |
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models |
2024 |
VLDB |
5.1725247e-05 |
| 11,147 |
Weakly Guided Adaptation for Robust Time Series Forecasting |
2024 |
VLDB |
5.1725247e-05 |
| 11,202 |
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation |
2023 |
SIGMOD |
5.1725247e-05 |
| 13,127 |
Fully Automated Correlated Time Series Forecasting in Minutes |
2025 |
VLDB |
- |
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AutoCTS: Automated Correlated Time Series Forecasting |
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6.4268483e-05 |
| 5,081 |
Forecasting Big Time Series: Old and New |
2018 |
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| 6,347 |
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting |
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| 11,147 |
Weakly Guided Adaptation for Robust Time Series Forecasting |
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5.1725247e-05 |
| 6,175 |
METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting |
2022 |
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6.0261044e-05 |
| 13,127 |
Fully Automated Correlated Time Series Forecasting in Minutes |
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| 5,995 |
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2024 |
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6.0777165e-05 |