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…
cs.AI2026
Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
Joaquín Polonuer, Lucas Vittor, Iñaki Arango +4
Retrieving evidence for language model queries from knowledge graphs requires balancing broad search across the graph with multi-hop traversal to follow relational links. Similarit…
q-bio.QM2025
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Ayush Noori, Joaquín 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…