TEAM: Topological Evolution-aware Framework for Traffic Forecasting
Summary: TEAM handles evolving road topologies and streaming traffic by fusing convolution and attention with a Wasserstein-based continual-learning buffer to flag stable vs changing nodes. Selective retraining (consolidate on stable nodes; update on new/adjacent/changing nodes) cuts re-training cost while preserving forecasting accuracy. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Duc Kieu (University of Science; Vietnam National University)
- 2. Tung Kieu (Aalborg University)
- 3. Peng Han (University of Electronic Science and Technology of China)
- 4. Bin Yang (East China Normal University)
- 5. Christian S. Jensen (Aalborg University)
- 6. Bac Le (University of Science; Vietnam National University)
BibTeX Citation
@article{kieu_vldb25,
title = {{TEAM: Topological Evolution-aware Framework for Traffic Forecasting}},
author = {Kieu, Duc and Kieu, Tung and Han, Peng and Yang, Bin and Jensen, Christian S. and Le, Bac},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {265--278},
doi = {10.14778/3705829.3705844},
url = {https://doi.org/10.14778/3705829.3705844},
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 |
| 13,318 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 13,320 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,589 | Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting | 2022 | VLDB | 6.6162897e-05 |
| 4,851 | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | 2022 | VLDB | 6.4803317e-05 |
| 6,212 | FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification | 2022 | VLDB | 5.9425753e-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 |
| 11,251 | QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models | 2024 | VLDB | 5.093636e-05 |
| 11,254 | Efficient Stochastic Routing in Path-Centric Uncertain Road Networks | 2024 | VLDB | 5.093636e-05 |
| 13,320 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
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