Table 7 Accuracy (mean and standard deviation over 10 runs) obtained by the proposed methods and competitors, with early-stopping regularization technique
From: Graph convolutional and attention models for entity classification in multilayer networks
Network | ML-GAT | ML-GCN | GrAMME-SG | GrAMME-Fusion | GAT | GCN |
|---|---|---|---|---|---|---|
Balance | \(0.8885 \pm 0.0208\) | \(\mathbf {0.8965 \pm 0.0990}\) | \(0.7543 \pm 0.0426\) | \(0.7982 \pm 0.0666\) | \(0.7244\pm 0.0910\) | \(0.7881 \pm 0.0270\) |
CKM-Social | \(0.9623 \pm 0.0088\) | \(0.9213 \pm 0.0226\) | \(0.9265 \pm 0.0253\) | \(0.9479 \pm 0.0192\) | \(\mathbf {0.9762 \pm 0.0179}\) | \(0.9729 \pm 0.0173\) |
Congress | \({0.9431 \pm 0.0195}\) | \(\mathbf {0.9440 \pm 0.0089}\) | \(0.8623 \pm 0.0231\) | \(0.9232\pm 0.0303\) | \(0.6116 \pm 0.0092\) | \(0.6146 \pm 0.0000\) |
DKPol | \(0.8294 \pm 0.0298\) | \(0.7681 \pm 0.0122\) | \(0.5910 \pm 0.0433\) | \(0.8233 \pm 0.0277\) | \(0.7960 \pm 0.0294\) | \(\mathbf {0.8621 \pm 0.0321}\) |
Leskovec-Ng | \(\mathbf {1.0 \pm 0.0000}\) | \(0.9570 \pm 0.0178\) | \(0.9516 \pm 0.0242\) | \(0.9832 \pm 0.0120\) | \(0.9792 \pm 0.0202\) | \(0.9861 \pm 0.0155\) |
Starwars | \(\mathbf {0.8174 \pm 0.0183}\) | \(0.8152 \pm 0.0185\) | \(0.6348 \pm 0.1001\) | \(0.6522 \pm 0.1108\) | \(0.8087 \pm 0.0171\) | \(0.7869 \pm 0.0225\) |
Terrorist-Noordin | \(0.6500 \pm 0.0745\) | \(0.7325 \pm 0.0566\) | \(0.7333 \pm 0.1141\) | \(\mathbf {0.7179 \pm 0.1216}\) | \(0.7175 \pm 0.0426\) | \(0.6850 \pm 0.0818\) |
Terrorist-status | \(0.5700 \pm 0.0483\) | \(0.5450 \pm 0.0369\) | \(0.5333 \pm 0.0380\) | \(0.4974\pm 0.0429\) | \(\mathbf {0.6313 \pm 0.0944}\) | \(0.5278 \pm 0.0870\) |
Vickers | \(\mathbf {0.9733 \pm 0.0466}\) | \(0.9667 \pm 0.0471\) | \(0.8769 \pm 0.1032\) | \(0.8974 \pm 0.0544\) | \(0.8667\pm 0.0544\) | \(0.8000 \pm 0.0943\) |
Koumbia-2-mpx | \(\mathbf {0.7890 \pm 0.0134}\) | \(0.7671 \pm 0.0173\) | \({0.6403 \pm 0.0815}\) | \({0.7333 \pm 0.0020}\) | \(0.6058 \pm 0.0138\) | \(0.6846 \pm 0.0139\) |
Koumbia-5-mpx | \(\mathbf {0.8431 \pm 0.0127}\) | \(0.7995 \pm 0.0114\) | \({0.5481 \pm 0.0013}\) | \({0.8021 \pm 0.0150}\) | \(0.7373 \pm 0.0471\) | \(0.7715 \pm 0.0141\) |
Koumbia-10-mpx | \(\mathbf {0.8419 \pm 0.0105}\) | \(0.8151 \pm 0.0162\) | na | na | \(0.7825 \pm 0.0612\) | \(0.8087 \pm 0.0161\) |