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Multiple Time Series Forecasting with Dynamic Graph Modeling

Summary: Introduces MTSF-DG which learns historical relation graphs and predicts future relation graphs to model evolving inter-series correlations. Employs a causal GNN and an explicit reasoning network to learn time-varying influence for improved multivariate forecasting. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13751
Venue
VLDB
Year
2024
Pagerank
5.5033018e-05
Overall Rank
5,438 | 62.17%
DOI
10.14778/3636218.3636230

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