Closed hczs closed 7 months ago
数据集文件配置(DSTAGNNDataset.json),跑 PEMSD4 数据集时要调整 batch_size 参数为 32
{ "batch_size": 64, "cache_dataset": true, "num_workers": 0, "train_rate": 0.6, "eval_rate": 0.2, "scaler": "standard", "load_external": false, "normal_external": false, "ext_scaler": "none", "input_window": 12, "output_window": 12, "sparsity": 0.01, "period": 288 }
模型参数配置(DSTAGNN.json)
{ "max_epoch": 100, "learner": "adam", "learning_rate": 0.0001, "use_early_stop": false, "in_channels": 1, "nb_block": 4, "K": 3, "nb_chev_filter": 32, "nb_time_filter": 32, "d_model": 512, "d_k": 32, "n_heads": 3, "graph_use": "AG" }
模型评价指标对比如下,DSTAGNN 的指标是使用原论文代码本地复现的结果
任务执行配置信息
数据集文件配置(DSTAGNNDataset.json),跑 PEMSD4 数据集时要调整 batch_size 参数为 32
模型参数配置(DSTAGNN.json)
任务执行结果
模型评价指标对比如下,DSTAGNN 的指标是使用原论文代码本地复现的结果