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Fig 1.

Overall Framework of STIL-TA.

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Fig 2.

Overall Framework of the Interactive Learning Module: (a) Structure of the IDGCN; (b) Structure of the DGCN.

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Table 1.

Details of the experimental dataset.

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Table 2.

Performance comparison of different traffic flow prediction models on METR-LA and PEMS-BAY datasets.

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Table 3.

Performance comparison of different traffic flow prediction models on PEMS04 and PEMS08 datasets.

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Fig 3.

Visual comparison of different error metrics (MAE).

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Fig 4.

Visual comparison of different error metrics (RMSE).

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Fig 5.

Visual comparison of different error metrics (MAPE).

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Fig 6.

Visualization of MAE metrics on METR-LA and PEMS-BAY datasets.

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Fig 7.

Visualization of RMSE metrics on METR-LA and PEMS-BAY datasets.

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Fig 8.

Visualization of MAPE metrics on METR-LA and PEMS-BAY datasets.

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Fig 9.

Visualization of the true and predicted values of the STIL-TA model on the PEMS-BAY dataset (Horizon 3).

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Fig 10.

Visualization of the true and predicted values of the STIL-TA model on the PEMS-BAY dataset (Horizon 12).

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Table 4.

Computation time comparison with other models on the PEMS-BAY dataset.

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