A Memory Guided Transformer for Time Series Forecasting

Summary: Memformer combines patch-wise recurrent graph learning with global attention to model dynamic, disrupted correlations in long multivariate time series. An Alternating Memory Enhancer links local and global representations, improving robustness and forecasting accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 14075
Venue: VLDB
Year: 2025
Pagerank: -
Overall Rank: 13,320 | 8.62%
DOI: 10.14778/3705829.3705842

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Yunyao Cheng (Aalborg University)
2. Chenjuan Guo (East China Normal University)
3. Bin Yang (East China Normal University)
4. Haomin Yu (Aalborg University)
5. Kai Zhao (Aalborg University)
6. Christian S. Jensen (Aalborg University)

BibTeX Citation

@article{cheng_vldb25,
        title = {{A Memory Guided Transformer for Time Series Forecasting}},
        author = {Cheng, Yunyao and Guo, Chenjuan and Yang, Bin and Yu, Haomin and Zhao, Kai and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {2},
        pages = {239--252},
        doi = {10.14778/3705829.3705842},
        url = {https://doi.org/10.14778/3705829.3705842},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,861	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	5.093636e-05
10,883	TEAM: Topological Evolution-aware Framework for Traffic Forecasting	2025	VLDB	5.093636e-05
13,318	Fully Automated Correlated Time Series Forecasting in Minutes	2025	VLDB	-

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
3,369	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	7.4706661e-05
3,694	Anytime Stochastic Routing with Hybrid Learning	2020	VLDB	7.1937882e-05
6,078	Multiple Time Series Forecasting with Dynamic Graph Modeling	2024	VLDB	5.9850223e-05
6,443	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	5.8775356e-05
10,861	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	5.093636e-05
10,883	TEAM: Topological Evolution-aware Framework for Traffic Forecasting	2025	VLDB	5.093636e-05
11,251	QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models	2024	VLDB	5.093636e-05
11,350	Weakly Guided Adaptation for Robust Time Series Forecasting	2024	VLDB	5.093636e-05
11,402	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation	2023	SIGMOD	5.093636e-05
13,318	Fully Automated Correlated Time Series Forecasting in Minutes	2025	VLDB	-

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