DCENet: A dynamic correlation evolve network for short-term traffic prediction

S Liu, X Feng, Y Ren, H Jiang, H Yu - Physica A: Statistical Mechanics and …, 2023 - Elsevier
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …
被引用次数：10 相关文章
[PDF] researchgate.net

[PDF][PDF] DCENet: A Dynamic Correlation Evolve Network for Short-term Traffic Prediction

S Liua, X Fenga, Y Renb, H Jianga, H Yub - researchgate.net
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …

DCENet: A dynamic correlation evolve network for short-term traffic prediction

S Liu, X Feng, Y Ren, H Jiang… - Physica A: Statistical …, 2023 - econpapers.repec.org
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …

DCENet: A dynamic correlation evolve network for short-term traffic prediction

S Liu, X Feng, Y Ren, H Jiang, H Yu - Physica A: Statistical …, 2023 - ideas.repec.org
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …

DCENet: A dynamic correlation evolve network for short-term traffic prediction

S Liu, X Feng, Y Ren, H Jiang… - Physica A Statistical …, 2023 - ui.adsabs.harvard.edu
Graph neural networks (GNNs) have been extensively employed in traffic prediction tasks
due to their excellent capturing capabilities of spatial dependence. However, the majority of …