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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)

Paper ID
13908
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,629 | 26.06%
DOI
10.14778/3705829.3705844

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