Article

An Ensemble Learning Approach to perform Link Prediction on Large Scale Biomedical Knowledge Graphs for Drug Repurposing and Discovery

2023-03-23

Abstract excerpt

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 representations that are required to encode the full scope of data in a large heterogeneous graph needs to have a high dimensionality. The orientation of a large number of...

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Literature Corpus work: 4df23e7b-0beb-56cf-b6b3-773259c26839
DOI: 10.1101/2023.03.19.533306

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