StefanBloemheuvel/GSP_Bridge

GSP_Bridge is a specialized academic repository supporting a specific research paper on bridge health monitoring. With only 9 stars and zero activity in over five years, it functions strictly as a static archive rather than a living software project. From a competitive standpoint, it has no moat; the logic is a specific application of Graph Signal Processing (GSP) that could be easily replicated using modern frameworks like PyTorch Geometric or DGL. Frontier labs are unlikely to compete in this highly niche civil engineering domain, but the project is at high risk of displacement by newer deep-learning-based Graph Neural Network (GNN) approaches which have largely superseded traditional GSP in anomaly detection tasks. Its value is purely as a domain-specific reference for researchers in Structural Health Monitoring (SHM).