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20212026
most citedPredicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies

7 citations · 11 across the 5 of their papers we have counts for

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cs.LG2026

Hakken: Predicting future discoveries to fill the gaps in today's knowledge

Tarek R. Besold, Uchenna Akujuobi, Pablo Sanchez +21

We present Hakken, a domain-agnostic prediction and explanation system performing knowledge prediction, i.e., growing scientific knowledge by establishing novel relationships, ones…

cs.LG2021★ 7 cited

Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies

Susana Nunes, Rita T. Sousa, Catia Pesquita

Ontology-based approaches for predicting gene-disease associations include the more classical semantic similarity methods and more recently knowledge graph embeddings. While semant…