Datasets:

witgaw
/

PEMS-BAY

@@ -16,14 +16,14 @@ import pandas as pd
 import numpy as np
 # Load sensor locations
-locations = pd.read_csv('sensor_graph/graph_sensor_locations_bay.csv')
 print(f"Dataset has {len(locations)} sensors")
 # Load distances (for custom graph construction)
-distances = pd.read_csv('sensor_graph/distances_bay_2017.csv')
 # Load pre-computed adjacency matrix
-adj_matrix = np.load('sensor_graph/adj_mx_bay.npy')
 print(f"Adjacency matrix shape: {adj_matrix.shape}")
 ```

 import numpy as np
 # Load sensor locations
+locations = pd.read_csv('sensor_graph/sensor_locations.csv')
 print(f"Dataset has {len(locations)} sensors")
 # Load distances (for custom graph construction)
+distances = pd.read_csv('sensor_graph/distances.csv')
 # Load pre-computed adjacency matrix
+adj_matrix = np.load('sensor_graph/adj_mx.npy')
 print(f"Adjacency matrix shape: {adj_matrix.shape}")
 ```

sensor_graph/distances.csv CHANGED Viewed

@@ -1,3 +1,4 @@
 400001,400001,0.0
 400017,400017,0.0
 400030,400030,0.0

+from,to,cost
 400001,400001,0.0
 400017,400017,0.0
 400030,400030,0.0

sensor_graph/sensor_locations.csv CHANGED Viewed

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