Table 8 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 | \(0.7642 \pm 0.0416\) | \(\mathbf {0.7759 \pm 0.0244}\) | \(0.5748 \pm 0.1137\) | \(0.6555 \pm 0.0711\) | \(0.6046\pm 0.1117\) | \(0.7282 \pm 0.0451\) |
CKM-Social | \(0.8771 \pm 0.0228\) | \(0.7882 \pm 0.0424\) | \(0.7293 \pm 0.0779\) | \(0.8882 \pm 0.0250\) | \(\mathbf {0.9512 \pm 0.0307}\) | \(0.9288 \pm 0.0331\) |
Congress | \(0.9111 \pm 0.0271\) | \(\mathbf {0.9370 \pm 0.0114}\) | \({0.8683 \pm 0.0210}\) | \(0.8581\pm 0.0107\) | \(0.6131 \pm 0.0000\) | \(0.6131 \pm 0.0000\) |
DKPol | \(0.6234 \pm 0.0566\) | \(0.6055 \pm 0.0343\) | \(0.3345 \pm 0.0587\) | \(0.5392 \pm 0.1015\) | \(0.5992 \pm 0.1034\) | \(\mathbf {0.7789 \pm 0.0421}\) |
Leskovec-Ng | \(\mathbf {0.9828 \pm 0.0145}\) | \(0.8918 \pm 0.0376\) | \(0.6673 \pm 0.1151\) | \(0.8110 \pm 0.0861\) | \(0.9724 \pm 0.0190\) | \(0.9746 \pm 0.0223\) |
Starwars | \(0.7894 \pm 0.0353\) | \(\mathbf {0.8121 \pm 0.0106}\) | \(0.6156 \pm 0.0109\) | \(0.6656 \pm 0.0650\) | \(0.7500 \pm 0.0464\) | \(0.7318 \pm 0.0982\) |
Terrorist-Noordin | \(0.7036 \pm 0.0339\) | \(\mathbf {0.7214 \pm 0.0674}\) | \(0.6473 \pm 0.1009\) | \(0.6618 \pm 0.0419\) | \(0.6625 \pm 0.0586\) | \(0.6893 \pm 0.0620\) |
Terrorist-status | \(0.5070 \pm 0.0791\) | \(0.5554\pm 0.0638\) | \(0.4873 \pm 0.1131\) | \(0.4764 \pm 0.0505\) | \(\mathbf {0.5643 \pm 0.0192}\) | \(0.4921 \pm 0.1202\) |
Vickers | \(\mathbf {0.9571 \pm 0.0417}\) | \(0.9143 \pm 0.0438\) | \(0.6842 \pm 0.754\) | \(0.7211 \pm 0.1907\) | \(0.6428\pm 0.1510\) | \(0.6714 \pm 0.1132\) |
Koumbia-2-mpx | \(\mathbf {0.6540 \pm 0.0258}\) | \(0.6376 \pm 0.0250\) | \({0.5641 \pm 0.0211}\) | \({0.6306 \pm 0.1085}\) | \(0.5662 \pm 0.0394\) | \(0.5784 \pm 0.0110\) |
Koumbia-5-mpx | \(\mathbf {0.7585 \pm 0.0501}\) | \(0.6715 \pm 0.0177\) | \(0.5525 \pm 0.0088\) | \(0.7480 \pm 0.0401\) | \(0.6051 \pm 0.0433\) | \(0.6331 \pm 0.0234\) |
Koumbia-10-mpx | \(\mathbf {0.8080 \pm 0.0445}\) | \(0.7019 \pm 0.0493\) | na | na | \(0.6613 \pm 0.0620\) | \(0.6681 \pm 0.0305\) |