How is the Pre-trained Nell-One calculated? Do you directly use the transE algorithm to perform the embedded calculation on NELL-One? about one-shot-relational-learning HOT 2 OPEN

Hello, I see that you are also interested in the pre-trained vector, where the vector of ComplEx is in the form of real numbers, but I feel that it is in the form of complex numbers from the paper, I don't know if you understand why? Is it easy to answer?

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Hi , I have the same question, I am currently trying to recreate the pre-trained embedding for another dataset. Could you advise how was pre-trained embedding done? I used the base TransE model in OpenKE GitHub code (Discussed in the paper) to produce entity2vec.TransE but the format is not in the form of complexed numbers.

Could you share the code on how was pre-trained embedding produced?

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