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SemOpenAlex Embeddings

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7912775
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Here, we provide knowledge graph embeddings for SemOpenAlex. After conducting experiments using different knowledge graph embedding algorithms, including TransE, DistMult, ComplEx, GraphSAGE, and GAT, we found that DistMult achieved the highest MRR scores. Therefore, we provide the embeddings based on this technique. More information about the training on high-performance computing (using up to 716GB of CPU RAM) can be found online at https://github.com/metaphacts/semopenalex/tree/main/embeddings-generation
创建时间:
2023-09-23
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