Table 3 AUC comparison results on ten datasets (ML, EN, SWN, CL, CM, IC, C2O, Mal, GPC and Drug).
From: A potential energy and mutual information based link prediction approach for bipartite networks
Dataset | ML | EN | SWN | CL | CM | IC | C2O | Mal | GPC | Drug |
|---|---|---|---|---|---|---|---|---|---|---|
PA | .881 | .788 | .648 | .773 | .764 | .823 | .901 | .591 | .720 | .880 |
CN | .871 | .851 | .730 | .811 | .801 | .910 | .990 | .901 | .812 | .920 |
JC | .791 | .880 | .663 | .821 | .798 | .850 | .950 | .901 | .821 | .910 |
CAR | .912 | .867 | .726 | .940 | .906 | .916 | .990 | .910 | .811 | .901 |
CJC | .882 | .867 | .762 | .960 | .940 | .925 | .990 | .910 | .831 | .910 |
CAA | .910 | .851 | .760 | .968 | .950 | .942 | 1.00 | .920 | .831 | .910 |
CRA | .921 | .890 | .772 | .945 | .955 | .931 | 1.00 | .910 | .821 | .930 |
BPR | .911 | .891 | .742 | .943 | .959 | .920 | .990 | .901 | .840 | .920 |
CS | .831 | .836 | .761 | .775 | .882 | .835 | .960 | .821 | .801 | .871 |
PLP | .930 | .889 | .936 | .905 | .960 | .945 | .965 | .906 | .849 | .938 |
NMF | .891 | .761 | .692 | .854 | .846 | .850 | .990 | .861 | .702 | .890 |
PMIL | .945 | .901 | .945 | .940 | .982 | .938 | .971 | .921 | .867 | .945 |
