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Generating knowledge graph embeddings (KGEs) to represent entities (nodes) and relations (edges) in large scale knowledge graph datasets has been a challenging problem in representation learning. This is primarily because the embeddings / vector repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb94c0a75477f4b8127d4c6917ec06fe
https://doi.org/10.1101/2023.03.19.533306
https://doi.org/10.1101/2023.03.19.533306
