更新STGODE模型:添加配置文件、优化模型代码、新增测试数据文件
This commit is contained in:
parent
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@ -5,9 +5,14 @@
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@ -40,7 +45,7 @@
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@ -57,10 +62,11 @@
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"keyToString": {
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"Python.STDEN.executor": "Debug",
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"Python.STGODE.executor": "Run",
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"Python.main.executor": "Run",
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@ -114,7 +120,7 @@
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<recent name="$PROJECT_DIR$/models/STDEN" />
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@ -139,6 +145,34 @@
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<option name="INPUT_FILE" value="" />
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<method v="2" />
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</configuration>
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<configuration name="STGODE" type="PythonConfigurationType" factoryName="Python">
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<option name="SCRIPT_NAME" value="$PROJECT_DIR$/main.py" />
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<option name="PARAMETERS" value="--config ./configs/STGODE/PEMS08.yaml" />
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@ -157,6 +191,7 @@
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@ -176,5 +211,6 @@
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</project>
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@ -0,0 +1,60 @@
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basic:
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device: cuda:0
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dataset: PEMS08
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model: STGODE
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mode: train
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seed: 2025
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data:
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dataset_dir: data/PEMS08
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val_batch_size: 32
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graph_pkl_filename: data/PEMS08/PEMS08_spatial_distance.npy
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num_nodes: 170
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batch_size: 64
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input_dim: 1
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lag: 12
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horizon: 12
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val_ratio: 0.2
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test_ratio: 0.2
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tod: False
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normalizer: std
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column_wise: False
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default_graph: True
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add_time_in_day: True
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add_day_in_week: True
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steps_per_day: 24
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days_per_week: 7
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model:
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input_dim: 1
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output_dim: 1
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history: 12
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horizon: 12
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num_features: 1
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rnn_units: 64
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sigma1: 0.1
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sigma2: 10
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thres1: 0.6
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thres2: 0.5
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train:
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loss: mae
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batch_size: 64
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epochs: 100
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lr_init: 0.003
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mape_thresh: 0.001
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mae_thresh: None
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debug: False
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output_dim: 1
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weight_decay: 0
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lr_decay: False
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lr_decay_rate: 0.3
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lr_decay_step: "5,20,40,70"
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early_stop: True
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early_stop_patience: 15
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grad_norm: False
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max_grad_norm: 5
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real_value: True
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log_step: 3000
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@ -117,7 +117,7 @@ class STGCNBlock(nn.Module):
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class ODEGCN(nn.Module):
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""" the overall network framework """
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def __init__(self, args):
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def __init__(self, config):
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"""
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Args:
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num_nodes : number of nodes in the graph
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@ -129,11 +129,12 @@ class ODEGCN(nn.Module):
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"""
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super(ODEGCN, self).__init__()
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num_nodes = args['num_nodes']
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args = config['model']
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num_nodes = config['data']['num_nodes']
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num_features = args['num_features']
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num_timesteps_input = args['history']
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num_timesteps_output = args['horizon']
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A_sp_hat, A_se_hat = get_A_hat(args)
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A_sp_hat, A_se_hat = get_A_hat(config)
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# spatial graph
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self.sp_blocks = nn.ModuleList(
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@ -17,7 +17,7 @@ files = {
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}
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def get_A_hat(args):
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def get_A_hat(config):
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"""read data, generate spatial adjacency matrix and semantic adjacency matrix by dtw
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Args:
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@ -31,12 +31,13 @@ def get_A_hat(args):
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dtw_matrix: array, semantic adjacency matrix
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sp_matrix: array, spatial adjacency matrix
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"""
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filepath = './data/'
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num_node = args['num_nodes']
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file = files[num_node]
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filename = file[0][:6]
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file_path = config['data']['graph_pkl_filename']
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filename = config['basic']['dataset']
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dataset_path = config['data']['dataset_dir']
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args = config['model']
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data = np.load(filepath + file[0])['data']
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data = np.load(file_path)
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data = np.nan_to_num(data, nan=0.0, posinf=0.0, neginf=0.0)
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num_node = data.shape[1]
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mean_value = np.mean(data, axis=(0, 1)).reshape(1, 1, -1)
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std_value = np.std(data, axis=(0, 1)).reshape(1, 1, -1)
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@ -72,7 +73,7 @@ def get_A_hat(args):
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with open(f'data/PEMS0{filename[-1]}/PEMS0{filename[-1]}.txt', 'r') as f:
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id_dict = {int(i): idx for idx, i in enumerate(f.read().strip().split('\n'))} # 建立映射列表
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# 使用 pandas 读取 CSV 文件,跳过标题行
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df = pd.read_csv(filepath + file[1], skiprows=1, header=None)
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df = pd.read_csv(f'{dataset_path}/{filename}.csv', skiprows=1, header=None)
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dist_matrix = np.zeros((num_node, num_node)) + float('inf')
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for _, row in df.iterrows():
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start = int(id_dict[row[0]])
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np.save(f'data/PEMS0{filename[-1]}/PEMS0{filename[-1]}_spatial_distance.npy', dist_matrix)
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else:
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# 使用 pandas 读取 CSV 文件,跳过标题行
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df = pd.read_csv(filepath + file[1], skiprows=1, header=None)
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df = pd.read_csv(f'{dataset_path}/{filename}.csv', skiprows=1, header=None)
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dist_matrix = np.zeros((num_node, num_node)) + float('inf')
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for _, row in df.iterrows():
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start = int(row[0])
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@ -98,7 +99,8 @@ def get_A_hat(args):
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sp_matrix = np.exp(- dist_matrix ** 2 / sigma ** 2)
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sp_matrix[sp_matrix < args['thres2']] = 0
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return get_normalized_adj(dtw_matrix).to(args['device']), get_normalized_adj(sp_matrix).to(args['device'])
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return (get_normalized_adj(dtw_matrix).to(config['basic']['device']),
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get_normalized_adj(sp_matrix).to(config['basic']['device']))
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def get_normalized_adj(A):
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@ -115,16 +117,16 @@ def get_normalized_adj(A):
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return torch.from_numpy(A_reg.astype(np.float32))
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if __name__ == '__main__':
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if __name__ == '__main__':
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config = {
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'sigma1': 0.1,
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'sigma2': 10,
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'thres1': 0.6,
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'thres2': 0.5,
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'device': 'cuda:0' if torch.cuda.is_available() else 'cpu'
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}
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for nodes in [358, 170, 883]:
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args = {'num_nodes': nodes, **config}
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get_A_hat(args)
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if __name__ == '__main__':
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config = {
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'sigma1': 0.1,
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'sigma2': 10,
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'thres1': 0.6,
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'thres2': 0.5,
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'device': 'cuda:0' if torch.cuda.is_available() else 'cpu'
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}
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for nodes in [358, 170, 883]:
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args = {'num_nodes': nodes, **config}
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get_A_hat(args)
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@ -1,8 +1,12 @@
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from models.STDEN.stden_model import STDENModel
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from models.STGODE.STGODE import ODEGCN
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def model_selector(config):
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model_name = config['basic']['model']
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model = None
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match model_name:
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case 'STDEN': model = STDENModel(config)
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case 'STDEN':
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model = STDENModel(config)
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case 'STGODE':
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model = ODEGCN(config)
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return model
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