SemOpenAlex Embeddings

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

Related Organizations

Karlsruhe Institute of Technology
Germany

Keywords

scholarly data, knowledge graph, embeddings

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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