Python基于图卷积的U-Net架构进行交通流量和速度的预测（完整源码和数据）

[{"title":"（ 23 个子文件 20.28MB ） Python基于图卷积的U-Net架构进行交通流量和速度的预测（完整源码和数据）","children":[{"title":"graph-unet-traffic-prediction-main","children":[{"title":"models","children":[{"title":"base_model.py <span style='color:#111;'> 13.33KB </span>","children":null,"spread":false},{"title":"graph_baselines.py <span style='color:#111;'> 7.87KB </span>","children":null,"spread":false},{"title":"unet.py <span style='color:#111;'> 2.48KB </span>","children":null,"spread":false},{"title":"graph_unet.py <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"results.py <span style='color:#111;'> 11.04KB </span>","children":null,"spread":false},{"title":"train_utils.py <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"dataset.py <span style='color:#111;'> 21.47KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 322B </span>","children":null,"spread":false},{"title":"data_utils.py <span style='color:#111;'> 13.12KB </span>","children":null,"spread":false}],"spread":true},{"title":"train.py <span style='color:#111;'> 8.45KB </span>","children":null,"spread":false},{"title":"evaluation.py <span style='color:#111;'> 23.64KB </span>","children":null,"spread":false},{"title":"submission.py <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"layers","children":[{"title":"graph_ops.py <span style='color:#111;'> 5.32KB </span>","children":null,"spread":false},{"title":"graph_layers.py <span style='color:#111;'> 8.23KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 524B </span>","children":null,"spread":false},{"title":"hybrid_gnn.py <span style='color:#111;'> 19.87KB </span>","children":null,"spread":false}],"spread":true},{"title":"requirements.txt <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 2.07KB </span>","children":null,"spread":false},{"title":"ckpts","children":[{"title":"GraphUNet","children":[{"title":"GraphUNet_03-10-2021__16-04-37","children":[{"title":"ckpt-1.data-00000-of-00001 <span style='color:#111;'> 22.61MB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 166B </span>","children":null,"spread":false},{"title":"ckpt-1.index <span style='color:#111;'> 85.78KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 10.36KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]