The results for WIKI dataset are different from the paper

[lihuiliullh]

In your paper, the Hit@10 for WIKI is 53.88 or 53.88. But I run the code, and get 0.833 Hit@10, which is almost the same as the Yago dataset.
I am curious how you do the experiments. Can the model distinguish between Yago and WIKI?

[Lee-zix]

Please give more details about how you run the code. For example, the snapshot of your commands and results?

[lihuiliullh]

The command I use is
"main.py -d WIKI --gpu=2 --train-history-len 3 --test-history-len 3 --dilate-len 1 --lr 0.001 --n-layers 2 --evaluate-every 1 --n-hidden 200 --self-loop --decoder convtranse --encoder uvrgcn --layer-norm --weight 0.5 --entity-prediction --relation-prediction --angle 10 --discount 1 --task-weight 0.7 --gpu 0 "

[Lee-zix]

First, the results in the paper are under the raw setting. We also print the results under the filtered setting for convenience. But, you do not compare the results between different settings. Second, the parameters used in your command are not optimal. Please see Section 5.1.4 (Implementation Details) to get the optimal parameter for WIKI.