Kiarash Shamsi

Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning

The proposed method, TRicci, extends classical Forman-Ricci curvature to directed weighted temporal graphs by capturing structural support, temporal recency, and local interaction competition and suggests that temporal curvature can serve as a principled basis for scalable temporal graph learning by preserving predictive temporal-structural information under substantial sparsification.