Table 2 Mutual information between the communities detected in various models. Comparison is done by computing the mutual information (MI) between the four communities across different models. Overall, the A-GHN model has higher mutual information with Ground Truth.
From: Attention-based fusion of multiple graphheat networks for structural to functional brain mapping
Model1 vs. Model2 | Mutual Information |
|---|---|
Actual vs. Actual | 1.706 |
Actual vs. A-GHN | 1.357 |
Actual vs. GCN Encoder Decoder | 0.735 |
Actual vs. MKL | 0.740 |
A-GHN vs. A-GHN | 2.180 |
A-GHN vs. GCN Encoder Decoder | 0.847 |
A-GHN vs. MKL | 1.064 |
GCN Encoder Decoder vs. MKL | 0.675 |