from torch_geometric.loader import DataLoader

# Create training, validation, and test sets
train_dataset = dataset[:int(len(dataset)*0.8)]
val_dataset   = dataset[int(len(dataset)*0.8):int(len(dataset)*0.9)]
test_dataset  = dataset[int(len(dataset)*0.9):]

# Create mini-batches
train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True)
val_loader = DataLoader(val_dataset, batch_size=64, shuffle=True)
test_loader = DataLoader(test_dataset, batch_size=64, shuffle=False)