DYNAMO Paper Accepted to NeurIPS 2026
Concorde: Geometry-Aware Link Prediction via Decoupled Energy Minimization accepted to NeurIPS 2026. The paper develops a geometric approach to link prediction that combines spectral, mixed-curvature, and nonlocal representations to improve prediction in sparse networks.