cgao-comp/PBI

PBI is a niche academic artifact providing the code for a specific research paper on network reconstruction. With only 2 stars and 1 fork after more than three years, it has failed to gain any meaningful traction in either the open-source or research community. The project is essentially dormant (zero velocity). From a competitive standpoint, it offers no moat; the algorithm is a specific mathematical approach that could be easily reimplemented by any practitioner in the field of network science. It competes with more established methods like NetRate or modern Graph Neural Network (GNN) based approaches for cascade prediction and network inference. Frontier labs (OpenAI, Anthropic) have little interest in this domain-specific statistical tool, making the frontier risk low, but the lack of adoption and the shift in the field toward deep learning-based temporal point processes makes this project largely obsolete for industrial or wide-scale applications.