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Found 3 papers, 3 papers with code
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
We also explore two approaches for end-to-end supervised training of the reader and retriever components in OpenQA models.
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
We aim to help guide machine learning and KG practitioners who are interested in applying new techniques to the drug discovery field, but who may be unfamiliar with the relevant data sources.
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Knowledge Graphs (KG) and associated Knowledge Graph Embedding (KGE) models have recently begun to be explored in the context of drug discovery and have the potential to assist in key challenges such as target identification.
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