Research Article
Variational Approach for Learning Community Structures
Table 5
Experimental results on PubMed dataset.
| | NMI () | VI () | ACC () | Q () | CON () | TPR () |
| Spectral Clustering | 0.0382 | 1.4341 | 0.3261 | 0.0414 | 0.5645 | 0.4935 | Louvain | 0.1983 | 3.6667 | 0.0954 | 0.7726 | 0.1388 | 0.1592 | DeepWalk | 0.2946 | 1.7865 | 0.3101 | 0.5766 | 0.0499 | 0.2461 | node2vec | 0.1197 | 1.9849 | 0.2228 | 0.3501 | 0.3170 | 0.2269 |
| Stochastic Blockmodel | 0.0004 | 1.9340 | 0.3080 | -0.1620 | 0.1038 | 0.1965 | Stochastic Blockmodel (D.C.) | 0.1325 | 2.0035 | 0.3118 | 0.5622 | 0.8121 | 0.2441 | VGAE∗ + -means | 0.2041 | 1.8096 | 0.3724 | 0.5273 | 0.1320 | 0.2898 | VGAE + -means | 0.1981 | 1.8114 | 0.2751 | 0.5297 | 0.1283 | 0.2900 | VGAECD∗ | 0.1642 | 1.8320 | 0.1956 | 0.4966 | 0.1252 | 0.2692 | VGAECD | 0.3252 | 1.7056 | 0.4216 | 0.6878 | 0.1636 | 0.4827 |
|
|