Comments (4)
It depends on the data size. For dataset such as WN18RR or FB15K237, the whole procedure usually take one or two days in one 3090 gpu (24 GB).
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It depends on the data size. For dataset such as WN18RR or FB15K237, the whole procedure usually take one or two days in one 3090 gpu (24 GB).
Thanks. But I used your default parameters to test on 'umls' dataset, and found that there is a certain gap between the running results and the paper data. Is there any modification in other parts?
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Hi, it is caused by the random sampling strategy or pre-training procedure, especially for the small dataset such as UMLS. You can try to pre-train the task with more epochs or use our pre-training checkpoints (which will be attached in this repository).
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Sorry for the inconvenience.
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