Table 3 The performance comparison of different community detection algorithms
From: Simple yet effective heuristic community detection with graph convolution network
Dataset | Metrics | K-means | Louvain | CommDGI | DGCluster | DCGL | MAGI | MGCN | CPGCL | Our |
|---|---|---|---|---|---|---|---|---|---|---|
Cora | Min DBI | – | – | 1.554865 | 0.958007 | 1.916085 | 2.142677 | 0.457259 | 3.370206 | 0.458970 |
Max Q | 0.216550 | 0.783224 | 0.685146 | 0.752858 | 0.288298 | 0.722241 | 0.211403 | 0.480478 | 0.765320 | |
Max NMI | 0.233923 | 0.457330 | 0.518370 | 0.465627 | 0.230544 | 0.591830 | 0.225887 | 0.233233 | 0.561596 | |
Max ACC | 0.364845 | 0.519202 | 0.666913 | 0.274003 | 0.408789 | 0.691285 | 0.361521 | 0.388848 | 0.669129 | |
Max F1 | 0.392400 | 0.069800 | 0.546800 | 0.231300 | 0.325500 | 0.703900 | 0.296000 | 0.377249 | 0.663200 | |
Max ARI | 0.123668 | 0.310949 | 0.444888 | 0.154347 | 0.110080 | 0.560715 | 0.082515 | 0.156608 | 0.469243 | |
Max FMI | 0.285960 | 0.419639 | 0.560501 | 0.297193 | 0.409037 | 0.579507 | 0.420040 | 0.287833 | 0.562167 | |
Max SC | 0.030930 | 0.095201 | 0.434185 | 0.561923 | 0.046621 | 0.478210 | 0.285998 | 0.067724 | 0.858014 | |
Citeseer | Min DBI | – | – | 1.718555 | 0.682854 | 1.712106 | 2.810201 | 0.458751 | 4.929488 | 0.583929 |
Max Q | 0.342458 | 0.783224 | 0.718006 | 0.813808 | 0.286117 | 0.794073 | 0.177122 | 0.462403 | 0.822334 | |
Max NMI | 0.231280 | 0.457330 | 0.353227 | 0.351596 | 0.138506 | 0.341371 | 0.095831 | 0.094860 | 0.385114 | |
Max ACC | 0.421100 | 0.519202 | 0.545537 | 0.122633 | 0.360986 | 0.420800 | 0.235047 | 0.276225 | 0.559663 | |
Max F1 | 0.380200 | 0.069800 | 0.438600 | 0.117700 | 0.289200 | 0.446200 | 0.188400 | 0.258641 | 0.504300 | |
Max ARI | 0.172758 | 0.310949 | 0.312169 | 0.057623 | 0.087879 | 0.217544 | 0.004307 | 0.072031 | 0.356296 | |
Max FMI | 0.290782 | 0.279003 | 0.448738 | 0.162507 | 0.416197 | 0.341115 | 0.386031 | 0.208526 | 0.459963 | |
Max SC | 0.014913 | 0.047396 | 0.420256 | 0.616554 | 0.057491 | 0.289657 | 0.164237 | 0.011400 | 0.814350 | |
Acm | Min DBI | – | – | 0.626647 | 0.829712 | 1.162722 | 1.828684 | 0.261183 | 3.167038 | 0.684481 |
Max Q | 0.179559 | 0.783224 | 0.585480 | 0.793614 | 0.162135 | 0.732835 | 0.427613 | 0.655669 | 0.745318 | |
Max NMI | 0.287808 | 0.457330 | 0.648341 | 0.382356 | 0.214327 | 0.431209 | 0.069817 | 0.154253 | 0.620495 | |
Max ACC | 0.351074 | 0.519202 | 0.875041 | 0.270413 | 0.525289 | 0.338843 | 0.333223 | 0.303471 | 0.844300 | |
Max F1 | 0.411000 | 0.069800 | 0.742500 | 0.249200 | 0.382500 | 0.446000 | 0.289200 | 0.342566 | 0.670900 | |
Max ARI | 0.193426 | 0.310949 | 0.693615 | 0.165469 | 0.177992 | 0.256714 | 0.000088 | 0.113481 | 0.692292 | |
Max FMI | 0.415971 | 0.320982 | 0.825851 | 0.357503 | 0.575100 | 0.479568 | 0.523107 | 0.308405 | 0.788906 | |
Max SC | 0.014176 | 0.108579 | 0.540433 | 0.552963 | 0.010168 | 0.305496 | 0.512783 | 0.035922 | 0.798375 | |
Amap | Min DBI | – | – | 0.539270 | 1.272281 | 1.255727 | 0.760000 | 0.486686 | NAN | 0.377126 |
Max Q | 0.080476 | 0.783224 | 0.346104 | 0.680452 | 0.435044 | 0.711067 | 0.240120 | NAN | 0.670459 | |
Max NMI | 0.117092 | 0.457330 | 0.220800 | 0.695787 | 0.514492 | 0.674966 | 0.169413 | NAN | 0.646764 | |
Max ACC | 0.291503 | 0.519202 | 0.389150 | 0.661961 | 0.669412 | 0.786144 | 0.290588 | NAN | 0.685882 | |
Max F1 | 0.284700 | 0.069800 | 0.310100 | 0.452600 | 0.650500 | 0.776100 | 0.225300 | NAN | 0.684800 | |
Max ARI | 0.048474 | 0.310949 | 0.085440 | 0.547796 | 0.434472 | 0.583538 | 0.015830 | NAN | 0.506579 | |
Max FMI | 0.220878 | 0.505307 | 0.437640 | 0.633039 | 0.495231 | 0.601123 | 0.332593 | NAN | 0.607000 | |
Max SC | 0.167072 | 0.322381 | 0.847948 | 0.764490 | 0.194227 | 0.730850 | 0.591428 | NAN | 0.899968 | |
Uat | Min DBI | - | - | 1.650489 | 0.995580 | 0.609719 | 2.086179 | 0.542170 | 2.117715 | 0.453726 |
Max Q | 0.000959 | 0.783224 | 0.219029 | 0.268062 | 0.049000 | 0.229935 | 0.113806 | 0.174967 | 0.280535 | |
Max NMI | 0.214282 | 0.116344 | 0.261743 | 0.194440 | 0.268799 | 0.135860 | 0.266431 | 0.097880 | 0.248141 | |
Max ACC | 0.430252 | 0.356303 | 0.556303 | 0.234454 | 0.468908 | 0.457983 | 0.336134 | 0.380672 | 0.547059 | |
Max F1 | 0.451700 | 0.075200 | 0.570600 | 0.225900 | 0.404000 | 0.444900 | 0.438200 | 0.353601 | 0.575400 | |
Max ARI | 0.144351 | 0.087934 | 0.248691 | 0.086840 | 0.404000 | 0.118683 | 0.119921 | 0.070222 | 0.243589 | |
Max FMI | 0.427409 | 0.412096 | 0.447597 | 0.224049 | 0.484028 | 0.369455 | 0.475867 | 0.387757 | 0.476756 | |
Max SC | 0.312638 | 0.218247 | 0.609281 | 0.515990 | 0.574159 | 0.419987 | 0.470890 | 0.408284 | 0.648977 | |
Ele-Photo | Min DBI | – | – | 2.274522 | 1.358343 | N/A | 0.883479 | OM | OM | 0.730426 |
Max Q | 0.328653 | 0.797354 | 0.678545 | 0.604822 | N/A | 0.682104 | OM | OM | 0.739465 | |
Max NMI | 0.244915 | 0.425891 | 0.450860 | 0.381566 | N/A | 0.435163 | OM | OM | 0.453136 | |
Max ACC | 0.322939 | 0.445763 | 0.519189 | 0.272177 | N/A | 0.460672 | OM | OM | 0.533353 | |
Max F1 | 0.276600 | 0.036300 | 0.367200 | 0.179200 | N/A | 0.502600 | OM | OM | 0.487800 | |
Max ARI | 0.089260 | 0.155509 | 0.258453 | 0.070701 | N/A | 0.206226 | OM | OM | 0.240034 | |
Max FMI | 0.229346 | 0.287502 | 0.395542 | 0.192001 | N/A | 0.342707 | OM | OM | 0.370855 | |
Max SC | 0.043629 | 0.356345 | 0.375267 | 0.423660 | N/A | 0.641512 | OM | OM | 0.696875 |