A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. (arXiv:2105.10578v3 [q-bio.QM] UPDATED)

The drug discovery and development process is a long and expensive one,
costing over 1 billion USD on average per drug and taking 10-15 years. To
reduce the high levels of attrition throughout the process, there has been a
growing interest in applying machine learning methodologies to various stages
of drug discovery and development in the recent decade, especially at the
earliest stage identification of druggable disease genes. In this paper, we
have developed a new tensor factorisation model to …

arxiv bio graph knowledge knowledge graph tensor