Graph Alignment Methods for the Development of Interoperable Gene Regulation Knowledge Graphs
TL;DR
Graph alignment methods address interoperability challenges in gene regulation knowledge graphs by analyzing entity similarities across disparate designs, especially in underexplored domains without widely accepted standards.
Graph Alignment Methods for the Development of Interoperable Gene Regulation Knowledge Graphs
Juan Mulero-Hernández; Ginés Almagro-Hernández; Jesualdo Tomás Fernández-Breis
https://doi.org/10.1109/ACCESS.2025.3649436
Volume 14
Biological and biomedical knowledge graphs can be disparate in their design when a standard has not been widely accepted by the community, even more when they represent data from a previously underexplored domain. This may result in the formation of disparate knowledge graphs. Entity alignment methodologies examine the similarities and differences between entities across diverse knowledge graphs t...