Table 3 Average performance of all models across datasets
From: Application of network link prediction in drug discovery
Model | CN | Salton | Jaccard | Sorens | HPI | HDI | LHN | AA | RA | PA |
|---|---|---|---|---|---|---|---|---|---|---|
Mean rank | 28.6 | 34.6 | 34.6 | 34.6 | 28.6 | 34.6 | 34.6 | 28.6 | 28.6 | 38 |
Model | LNBCN | LNBAA | LNBRA | LocalP | Katz.01 | \(\sim\).001 | LHNII.9 | \(\sim\).95 | \(\sim\).99 | ACT |
Mean rank | 28.6 | 28.6 | 28.6 | 16.6 | 21.8 | 21.8 | 21.8 | 14.4 | 15.4 | 3 |
Model | CosPlus | RWR.85 | \(\sim\).95 | SimR | LRW_3 | \(\sim\)_4 | \(\sim\)_5 | SRW_3 | \(\sim\)_4 | \(\sim\)_5 |
|---|---|---|---|---|---|---|---|---|---|---|
Mean rank | 11 | 18.8 | 17.8 | 9.8 | 12.4 | 8.8 | 5.7 | 13.4 | 7.8 | 5.7 |
Model | MFI | TSCN | prone | netmf | node2vec | Deepwalk | hope | netsmf | grarep | Â |
Mean rank | 19.8 | 23.8 | 2 | 8.6 | 13.2 | 13.6 | 8.2 | 19.6 | 34 | Â |