Table 5. Results for different methods on the SIGNET dataset.
Method | Error | Recall | Precision | Time |
ReBMM | 0.0210 | 0.9283 | 0.9283 | 1 hr, 16 m |
REVEAL | 0.0233 | 0.9442 | 0.9380 | 2 hr, 41 m |
Search | 0.0174 | 0.9132 | 0.9767 | 1 hr, 36 m |
We ran three different methods, i.e., ReBMM, REVEAL and Akutsu's search method to reconstruct the SIGNET network. We can see that ReBMM takes the least amount of running time as compared to other methods. The state transition error is comparable for all three methods, however, precision is the highest for the search method.