MD2GCN
收藏Figshare2024-07-17 更新2026-04-08 收录
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https://figshare.com/articles/dataset/MD2GCN/26318239/1
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资源简介：
Aiming at the problems that the multi-scale features and long-term dependencies of traffic flow are not easy to model synchronously and the higher-order hidden dynamic spatiotemporal features are challenging to capture, this paper proposes a multi-scale dual-dynamic spatiotemporal graph convolution network (MSD2GCN) for traffic flow prediction.
提供机构：
Yi, Min
创建时间：
2024-07-17
