result is higher from paper on cpu?

[intellectwood]

I just follow the readme to perform one experiment on cpu: python train.py --method EDGNN --dname senate-committees-100 --All_num_layers 8 --MLP_num_layers 2 --MLP2_num_layers 2 --MLP3_num_layers 2 --Classifier_num_layers 2 --MLP_hidden 512 --Classifier_hidden 256 --aggregate mean --restart_alpha 0.5 --lr 0.001 --wd 0 --epochs 500 --runs 10 --feature_noise 1.0 --data_dir <data_path> --raw_data_dir <raw_data_path>

It returns the results: Highest Train: 100.00 ± 0.00 Highest Valid: 77.29 ± 4.18 Final Train: 97.16 ± 2.36 Final Test: 68.73 ± 3.56

my question is why it is much higher than the value 64.79 ± 5.14 from paper? though I did do it on GPU but it differ a lot, anything I miss?