Efficient methods for subgraph similarity search have been extensively explored in deterministic graphs. However, real-world graphs often exhibit uncertainties due to various factors, such as errors and inconsistencies. Research has addressed subgraph similarity search in large probabilistic graph databases, where edge occurrences are correlated. The problem is proven to be
