Python-TGCN的TensorFlow实现用于城市交通流量预测的时间图卷积网络

上传者: 39840588 | 上传时间: 2021-07-10 10:36:21 | 文件大小: 29.7MB | 文件类型: ZIP
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

文件下载

资源详情

[{"title":"( 90 个子文件 29.7MB ) Python-TGCN的TensorFlow实现用于城市交通流量预测的时间图卷积网络","children":[{"title":"T-GCN-master","children":[{"title":"visualization.py <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"sz_adj.csv <span style='color:#111;'> 47.53KB </span>","children":null,"spread":false},{"title":"sz_speed.csv <span style='color:#111;'> 5.07MB </span>","children":null,"spread":false},{"title":"los_speed.csv <span style='color:#111;'> 3.24MB </span>","children":null,"spread":false},{"title":"los_adj.csv <span style='color:#111;'> 109.07KB </span>","children":null,"spread":false},{"title":"Los_traffic.h5 <span style='color:#111;'> 54.40MB </span>","children":null,"spread":false},{"title":"Los_adj.pkl <span style='color:#111;'> 664.51KB </span>","children":null,"spread":false}],"spread":true},{"title":"gru.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"baselines.py <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"tgcn.py <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"out","children":[{"title":"tgcn_sz_lr0.001_batch32_unit100_seq4_pre1_epoch5000","children":[{"title":"test_acc.jpg <span style='color:#111;'> 243.74KB </span>","children":null,"spread":false},{"title":"train_loss.jpg <span style='color:#111;'> 223.47KB </span>","children":null,"spread":false},{"title":"test_oneday.jpg <span style='color:#111;'> 347.72KB </span>","children":null,"spread":false},{"title":"batch_rmse.csv <span style='color:#111;'> 6.42MB </span>","children":null,"spread":false},{"title":"train_rmse.csv <span style='color:#111;'> 87.92KB </span>","children":null,"spread":false},{"title":"test_result.csv <span style='color:#111;'> 870.44KB </span>","children":null,"spread":false},{"title":"rmse.jpg <span style='color:#111;'> 257.01KB </span>","children":null,"spread":false},{"title":"test_mae.jpg <span style='color:#111;'> 249.54KB </span>","children":null,"spread":false},{"title":"test_rmse.jpg <span style='color:#111;'> 246.61KB </span>","children":null,"spread":false},{"title":"train_loss.csv <span style='color:#111;'> 91.79KB </span>","children":null,"spread":false},{"title":"test_loss.csv <span style='color:#111;'> 87.70KB </span>","children":null,"spread":false},{"title":"model_100","children":[{"title":"TGCN_pre_2500-2500.meta <span style='color:#111;'> 332.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.meta <span style='color:#111;'> 332.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.meta <span style='color:#111;'> 332.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.meta <span style='color:#111;'> 332.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_2500-2500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.data-00000-of-00001 <span style='color:#111;'> 359.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_2500-2500.data-00000-of-00001 <span style='color:#111;'> 359.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.data-00000-of-00001 <span style='color:#111;'> 359.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.meta <span style='color:#111;'> 332.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.data-00000-of-00001 <span style='color:#111;'> 359.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.data-00000-of-00001 <span style='color:#111;'> 359.79KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 289B </span>","children":null,"spread":false}],"spread":false},{"title":"train_rmse.jpg <span style='color:#111;'> 221.84KB </span>","children":null,"spread":false},{"title":"test_rmse.csv <span style='color:#111;'> 89.77KB </span>","children":null,"spread":false},{"title":"train_loss[150 <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"batch_loss.csv <span style='color:#111;'> 6.44MB </span>","children":null,"spread":false},{"title":"test_acc.csv <span style='color:#111;'> 92.18KB </span>","children":null,"spread":false},{"title":"test_all.jpg <span style='color:#111;'> 384.07KB </span>","children":null,"spread":false}],"spread":false},{"title":"tgcn_los_lr0.001_batch64_unit64_seq12_pre3_epoch5000","children":[{"title":"test_acc.jpg <span style='color:#111;'> 252.62KB </span>","children":null,"spread":false},{"title":"train_loss.jpg <span style='color:#111;'> 236.74KB </span>","children":null,"spread":false},{"title":"batch_rmse.csv <span style='color:#111;'> 2.07MB </span>","children":null,"spread":false},{"title":"train_rmse.csv <span style='color:#111;'> 87.98KB </span>","children":null,"spread":false},{"title":"test_result.csv <span style='color:#111;'> 2.18MB </span>","children":null,"spread":false},{"title":"rmse.jpg <span style='color:#111;'> 260.57KB </span>","children":null,"spread":false},{"title":"test_mae.jpg <span style='color:#111;'> 249.14KB </span>","children":null,"spread":false},{"title":"test_rmse.jpg <span style='color:#111;'> 242.63KB </span>","children":null,"spread":false},{"title":"train_loss.csv <span style='color:#111;'> 89.23KB </span>","children":null,"spread":false},{"title":"test_loss.csv <span style='color:#111;'> 85.50KB </span>","children":null,"spread":false},{"title":"0test_prediction_0307.jpg <span style='color:#111;'> 146.00KB </span>","children":null,"spread":false},{"title":"model_100","children":[{"title":"TGCN_pre_2500-2500.meta <span style='color:#111;'> 885.71KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.meta <span style='color:#111;'> 885.71KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.meta <span style='color:#111;'> 885.71KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.meta <span style='color:#111;'> 885.71KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_2500-2500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_4500-4500.data-00000-of-00001 <span style='color:#111;'> 150.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_2500-2500.data-00000-of-00001 <span style='color:#111;'> 150.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.data-00000-of-00001 <span style='color:#111;'> 150.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.index <span style='color:#111;'> 775B </span>","children":null,"spread":false},{"title":"TGCN_pre_3000-3000.meta <span style='color:#111;'> 885.71KB </span>","children":null,"spread":false},{"title":"TGCN_pre_4000-4000.data-00000-of-00001 <span style='color:#111;'> 150.79KB </span>","children":null,"spread":false},{"title":"TGCN_pre_3500-3500.data-00000-of-00001 <span style='color:#111;'> 150.79KB </span>","children":null,"spread":false},{"title":"checkpoint <span style='color:#111;'> 289B </span>","children":null,"spread":false}],"spread":false},{"title":"train_rmse.jpg <span style='color:#111;'> 225.14KB </span>","children":null,"spread":false},{"title":"test_rmse.csv <span style='color:#111;'> 87.97KB </span>","children":null,"spread":false},{"title":"batch_loss.csv <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false},{"title":"test_acc.csv <span style='color:#111;'> 92.16KB </span>","children":null,"spread":false},{"title":"test_all.jpg <span style='color:#111;'> 286.56KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"tgcn.cpython-35.pyc <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"input_data.cpython-35.pyc <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"visualization.cpython-35.pyc <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"utils.cpython-35.pyc <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"gcn.py <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"input_data.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 6.57KB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"pics","children":[{"title":"图片 1.png <span style='color:#111;'> 114.85KB </span>","children":null,"spread":false},{"title":"arc.png <span style='color:#111;'> 156.77KB </span>","children":null,"spread":false},{"title":"Cell.png <span style='color:#111;'> 120.16KB </span>","children":null,"spread":false},{"title":"gcn.png <span style='color:#111;'> 262.56KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明