Hi, i was trying out the code on using RGCN for link prediction https://github.com/dmlc/dgl/blob/master/examples/pytorch/rgcn/link_predict.py, by changing the dataset from FB15k-237 to WN18. However, the results i got for MRR (filtered) is around 0.69, which is significantly different from the results published in the paper (0.819). I am curious whether there is anything different in the training paradigm used?
Thank you.