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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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,601 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 4.1945683e-05 |
| 13,113 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB | - |
| 13,115 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,206 | Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting | 2022 | VLDB | 6.3595566e-05 |
| 4,290 | FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification | 2022 | VLDB | 6.2885419e-05 |
| 5,468 | Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles | 2022 | VLDB | 5.4902013e-05 |
| 6,589 | AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting | 2023 | SIGMOD | 5.001285e-05 |
| 10,601 | Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching | 2025 | VLDB | 4.1945683e-05 |
| 11,041 | QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models | 2024 | VLDB | 4.1945683e-05 |
| 11,046 | Efficient Stochastic Routing in Path-Centric Uncertain Road Networks | 2024 | VLDB | 4.1945683e-05 |
| 13,115 | A Memory Guided Transformer for Time Series Forecasting | 2025 | VLDB | - |
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