Which one of the statements regarding mini-batch training (compared to full-graph training) on graph neural networks for node classification is false?
1) Mini-batch training is faster than full-graph training.
2) Mini-batch training requires less memory than full-graph training.
3) Mini-batch training can lead to less accurate results compared to full-graph training.
4) Mini-batch training is not suitable for large-scale graphs.