I would like to ask about the ids used for representing entities and relations in training files.
Reading the provided datasets' files, I see that the indices are in ascending order from 0 to num of entities/relations - 1. Is that a requirement, or could we use some other form of IDs, for example some internal id of the knowledge graph?
Also, as I understand the embedding.vec.json file, the embeddings are provided in the same order as in entity2id.txt and relation2id.txt, is that correct? Would that work in case of random IDs?
I would like to ask about the ids used for representing entities and relations in training files.
Reading the provided datasets' files, I see that the indices are in ascending order from 0 to num of entities/relations - 1. Is that a requirement, or could we use some other form of IDs, for example some internal id of the knowledge graph?
Also, as I understand the embedding.vec.json file, the embeddings are provided in the same order as in entity2id.txt and relation2id.txt, is that correct? Would that work in case of random IDs?