Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

The representation of the relationships among data, information, knowledge and -- ultimately -- wisdom, known as the data pyramid, has long been part of the language of information science.

More information: Drew DeHaas et al, Enabling efficient analysis of biobank-scale data with genotype representation graphs, Nature Computational Science (2024). DOI: 10.1038/s43588-024-00739-9 ...