3 papers
cs.AI2026
Unifying biomedical knowledge in a modern multimodal graph
Lucas Vittor, Ayush Noori, Iñaki Arango +5
Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and therefore lack schema-level constraints, whereas graphs…
q-bio.QM2025
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Ayush Noori, JoaquÃn Polonuer, Katharina Meyer +26
Neurological diseases are the leading global cause of disability, yet most lack disease-modifying treatments. We present PROTON, a heterogeneous graph transformer that generates te…
cs.AI2025
Kosmos: An AI Scientist for Autonomous Discovery
Ludovico Mitchener, Angela Yiu, Benjamin Chang +34
Data-driven scientific discovery requires iterative cycles of literature search, hypothesis generation, and data analysis. Substantial progress has been made towards AI agents that…