From: Graph convolutional and attention models for entity classification in multilayer networks
Network | ML-GAT | ML-GCN | GrAMME-SG | GrAMME-Fusion | GAT | GCN |
---|---|---|---|---|---|---|
Balance | \(0.8582 \pm 0.0283\) | \(\mathbf {0.9306 \pm 0.0216}\) | \(0.8004 \pm 0.0244\) | \(0.8230 \pm 0.0764\) | \(0.6445\pm 0.0720\) | \(0.8101 \pm 0.0533\) |
CKM-Social | \(0.9544 \pm 0.0113\) | \(0.8242 \pm 0.0420\) | \(0.9685 \pm 0.0138\) | \(0.9807 \pm 0.0075\) | \(\mathbf {0.9962 \pm 0.0052}\) | \(0.9736 \pm 0.0121\) |
Congress | \(0.9236 \pm 0.0275\) | \(0.9362 \pm 0.0217\) | \(0.8834 \pm 0.0000\) | \(\mathbf {0.9601\pm 0.0000}\) | \(0.5370 \pm 0.0953\) | \(0.6146 \pm 0.0000\) |
DKPol | \(0.8332 \pm 0.0163\) | \(0.7866 \pm 0.0237\) | \(0.5590 \pm 0.0256\) | \(0.8424 \pm 0.0212\) | \(0.8535 \pm 0.0206\) | \(\mathbf {0.8838 \pm 0.0151}\) |
Leskovec-Ng | \(\mathbf {0.9959 \pm 0.0036}\) | \(0.9243 \pm 0.0405\) | \(0.9545 \pm 0.0422\) | \(0.9797 \pm 0.0022\) | \(0.9903 \pm 0.0128\) | \(0.9937 \pm 0.0022\) |
Starwars | \(0.7000 \pm 0.0788\) | \(0.7140 \pm 0.0477\) | \(0.6319 \pm 0.0771\) | \(\mathbf {0.7754 \pm 0.0370}\) | \(0.7464 \pm 0.0300\) | \(0.6855 \pm 0.0611\) |
Terrorist-Noordin | \(0.7150 \pm 0.0669\) | \(0.7833 \pm 0.0801\) | \(0.7000 \pm 0.0939\) | \(\mathbf {0.8237 \pm 0.0322}\) | \(0.7133 \pm 0.0706\) | \(0.6667 \pm 0.0720\) |
Terrorist-status | \(0.4767 \pm 0.0439\) | \(0.5022 \pm 0.0835\) | \(0.4915 \pm 0.0554\) | \(0.4932 \pm 0.0847\) | \(0.4650 \pm 0.0748\) | \(\mathbf {0.5034 \pm 0.0809}\) |
Vickers | \(\mathbf {0.9692 \pm 0.0372}\) | \(0.9591 \pm 0.0725\) | \(0.8227 \pm 0.1311\) | \(0.8909 \pm 0.1563\) | \(0.9136\pm 0.0693\) | \(0.8227 \pm 0.0756\) |
Koumbia-2-mpx | \(\mathbf {0.7937 \pm 0.0106}\) | \(0.7578 \pm 0.0434\) | \(0.6663 \pm 0.0170\) | \(0.7520 \pm 0.0064\) | \(0.7485 \pm 0.0231\) | \(0.7031 \pm 0.0107\) |
Koumbia-5-mpx | \(\mathbf {0.8404 \pm 0.0132}\) | \(0.8314 \pm 0.0289\) | \(0.6425 \pm 0.0000\) | \(0.8040 \pm 0.0000\) | \(0.8077 \pm 0.0128\) | \(0.7802 \pm 0.0167\) |
Koumbia-10-mpx | \(\mathbf {0.8425 \pm 0.0093}\) | \(0.8192 \pm 0.0011\) | na | na | \(0.8420 \pm 0.0058\) | \(0.8147 \pm 0.0094\) |