Research Article
Nonlinear Structural Fusion for Multiplex Network
| Algorithm | Datasets | Celegans | CKM | CS-Aarhus | London | VICKERS | Ack-Co-author |
| Node2Vec | 0.7847 | 0.8021 | 0.8997 | 0.6816 | 0.6667 | 0.5097 | Ohmnet | 0.8427 | 0.8576 | 0.8826 | 0.3580 | 0.7841 | 0.8060 | PMNE(n) | 0.5012 | 0.4773 | 0.5154 | 0.4993 | 0.5013 | 0.4981 | PMNE(r) | 0.4945 | 0.5043 | 0.5205 | 0.4782 | 0.5002 | 0.5076 | PMNE(c) | 0.5003 | 0.4757 | 0.5047 | 0.5043 | 0.4955 | 0.4983 | MNE | 0.6313 | 0.7902 | 0.8842 | 0.4526 | 0.7048 | 0.7093 | MELL | 0.8085 | 0.7599 | 0.9014 | 0.4991 | 0.7923 | 0.7227 | GraphSAGE | 0.7629 | 0.8521 | 0.7023 | 0.5160 | 0.7571 | 0.3991 |
| CN | 0.7467 | 0.6517 | 0.8855 | 0.5054 | 0.7932 | 0.5104 | JC | 0.7330 | 0.6526 | 0.8883 | 0.5054 | 0.7864 | 0.5102 | AA | 0.7524 | 0.6523 | 0.8962 | 0.5054 | 0.8145 | 0.6968 | AAMT | 0.8604 | 0.8239 | 0.9232 | 0.5266 | 0.7389 | 0.6968 |
| MNSF | 0.8112 | 0.9181 | 0.9250 | 0.7751 | 0.8169 | 0.8105 |
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All numbers are the averaged AUC scores based on 10 time calculations.
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