OptimusKG: Unifying biomedical knowledge in a modern multimodal graph

ArXi:2604.27269v1 Announce Type: new Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and. therefore. lack schema-level constrains, whereas graphs assembled from structured resources are difficult to harmonize into a unified representation. We present OptimusKG, a multimodal biomedical labeled property graph (LPG) built from structured and semi-structured resources to preserve factual, type-specific metadata across molecular, anatomical, clinical, and environmental domains.