| Hyperparameter | Setting |
---|---|---|
NAFS | Threshold of lncRNA network É‘ | [0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9] |
Threshold of disease network β | [0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9] | |
Maximum smoothing steps k | [2, 3, 4, 5, 6, 7, 8, 9] | |
List of r value | [{0,0.1,0.2,0.3,0.4,0.5}, {0.3,0.4,0.5}] | |
SDNE | First-order loss parameter alpha | 1e-6 |
Coding dimension nhid1 | [32, 64, 128, 256] | |
Regularization term parameters nu1 | 1e-5 | |
Regularization term parameters nu2 | 1e-4 | |
NAGTLDA | Learning rate lr | 0.001 |
Random seed | 50 | |
Dropout | 0.4 | |
Adam optimizer weight-decay | 5e-3 | |
Number of layers of global-level embedding L1 | [1, 5, 10, 15] | |
Number of layers of global-level embedding fusion L2 | [15, 10, 20, 25] | |
Number of heads of global-level embedding H1 | [4, 8, 16, 32] | |
Number of heads of global-level embedding fusion H2 | [16, 32, 64, 128] | |
Feature embedding size out-dim | [32, 64, 128, 256, 512] | |
Epoch | 150 |