Table 6 Accuracy (mean and standard deviation over 10 runs) obtained by the proposed methods and competitors
From: Graph convolutional and attention models for entity classification in multilayer networks
Network | ML-GAT | ML-GCN | GrAMME-SG | GrAMME-Fusion | GAT | GCN |
|---|---|---|---|---|---|---|
Balance | \(0.7265 \pm 0.0270\) | \(\mathbf {0.8164 \pm 0.0139}\) | \(0.6795 \pm 0.0377\) | \(0.7188 \pm 0.0483\) | \(0.5496\pm 0.0852\) | \(0.7670 \pm 0.0317\) |
CKM-Social | \(0.8652 \pm 0.0193\) | \(0.7819 \pm 0.0213\) | \(0.8026 \pm 0.0649\) | \(0.8638 \pm 0.0596\) | \(\mathbf {0.9815 \pm 0.0189}\) | \(0.9427 \pm 0.0281\) |
Congress | \(0.9262 \pm 0.0212\) | \(\mathbf {0.9342 \pm 0.0065}\) | \(0.8814 \pm 0.0000\) | \(0.8879\pm 0.0000\) | \(0.5398 \pm 0.0649\) | \(0.6146 \pm 0.0000\) |
DKPol | \(0.6809 \pm 0.0510\) | \(0.5377 \pm 0.2600\) | \(0.3679 \pm 0.0377\) | \(0.5373 \pm 0.0513\) | \(0.7384 \pm 0.0577\) | \(\mathbf {0.7969 \pm 0.0394}\) |
Leskovec-Ng | \(\mathbf {0.9872 \pm 0.0053}\) | \(0.8750 \pm 0.0454\) | \(0.7873 \pm 0.0960\) | \(0.8746 \pm 0.0749\) | \(0.9867 \pm 0.0191\) | \(0.9867 \pm 0.0146\) |
Starwars | \(0.7465 \pm 0.0455\) | \(\mathbf {0.7767 \pm 0.0741}\) | \(0.6885 \pm 0.1278\) | \(0.6828 \pm 0.1861\) | \(0.6023 \pm 0.0757\) | \(0.6151 \pm 0.1531\) |
Terrorist-Noordin | \(0.6568 \pm 0.0428\) | \(0.7284 \pm 0.0149\) | \(0.6536 \pm 0.0947\) | \(\mathbf {0.7427 \pm 0.0860}\) | \(0.6649 \pm 0.0774\) | \(0.6324 \pm 0.0734\) |
Terrorist-status | \(0.4648 \pm 0.0377\) | \(0.4767\pm 0.0328\) | \(\mathbf {0.5460 \pm 0.0790}\) | \(0.5360 \pm 0.0917\) | \(0.4575 \pm 0.0810\) | \(0.4247 \pm 0.0961\) |
Vickers | \(\mathbf {0.9296 \pm 0.0729}\) | \(0.9074 \pm 0.0400\) | \(0.5750 \pm 0.1745\) | \(0.5643 \pm 0.1355\) | \(0.7296\pm 0.1063\) | \(0.7851 \pm 0.0716\) |
Koumbia-2-mpx | \(\mathbf {0.6551 \pm 0.0121}\) | \(0.6405 \pm 0.0448\) | \(0.5999 \pm 0.0188\) | \({0.6404 \pm 0.0064}\) | \(0.5865 \pm 0.0182\) | \(0.5835 \pm 0.0187\) |
Koumbia-5-mpx | \(\mathbf {0.7457 \pm 0.0286}\) | \(0.6677 \pm 0.0194\) | \(0.5455 \pm 0.0156\) | \(0.7147 \pm 0.0120\) | \(0.6698 \pm 0.0162\) | \(0.6426 \pm 0.0339\) |
Koumbia-10-mpx | \(\mathbf {0.7674 \pm 0.0596}\) | \(0.6265 \pm 0.0252\) | na | na | \(0.7278 \pm 0.0179\) | \(0.6694 \pm 0.0156\) |