Traffic Flow Prediction Model Based on Variant Hybrid Multi-Hop Graph Convolution
A variant hybrid graph convolution module is designed, which combines Chebyshev polynomial approximation and adaptive adjacency matrix, while balancing computational efficiency and enhancing the model’s ability to capture long-distance spatial dependencies.
Xuejun Li, Xiao-Qi Yin, Chen Gu et al.
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