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Found 2 papers, 0 papers with code
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting
Firstly, most approaches are primarily designed to model the local shared patterns, which makes them insufficient to capture the specific patterns associated with each node globally.
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach
In modern traffic management, one of the most essential yet challenging tasks is accurately and timely predicting traffic.
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