├── A simple basline algorithm for graph classification.ipynb ├── DATASETS ├── PTC_MR │ ├── PTC_MR_A.txt │ ├── PTC_MR_edge_labels.txt │ ├── PTC_MR_graph_indicator.txt │ ├── PTC_MR_graph_labels.txt │ ├── PTC_MR_node_labels.txt │ └── README.txt └── README.md ├── README.md └── images ├── README.md ├── additional_results.png ├── k_dependence.png ├── method_schema.png └── results.png /A simple basline algorithm for graph classification.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# A Simple Baseline Algorithm for Graph Classification" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "##### Edouard Pineau, Nathan de Lara" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 1, 20 | "metadata": { 21 | "collapsed": true 22 | }, 23 | "outputs": [], 24 | "source": [ 25 | "import networkx as nx\n", 26 | "import numpy as np\n", 27 | "import pandas as pd\n", 28 | "\n", 29 | "from scipy import sparse\n", 30 | "\n", 31 | "from sklearn.preprocessing import LabelEncoder\n", 32 | "\n", 33 | "from sklearn.ensemble import RandomForestClassifier\n", 34 | "from sklearn.model_selection import StratifiedKFold\n", 35 | "\n", 36 | "from sklearn.model_selection import cross_val_score\n", 37 | "\n", 38 | "%matplotlib inline\n" 39 | ] 40 | }, 41 | { 42 | "cell_type": "markdown", 43 | "metadata": {}, 44 | "source": [ 45 | "### Loading all datasets" 46 | ] 47 | }, 48 | { 49 | "cell_type": "code", 50 | "execution_count": 2, 51 | "metadata": { 52 | "collapsed": true 53 | }, 54 | "outputs": [], 55 | "source": [ 56 | "class GraphDataset:\n", 57 | " def __init__(self, folder_path=''):\n", 58 | "\n", 59 | " G = nx.Graph()\n", 60 | " data_adj = np.loadtxt(folder_path + '_A.txt', delimiter=',').astype(int)\n", 61 | " data_graph_indicator = np.loadtxt(folder_path + '_graph_indicator.txt', delimiter=',').astype(int)\n", 62 | " labels = np.loadtxt(folder_path + '_graph_labels.txt', delimiter=',').astype(int)\n", 63 | "\n", 64 | " data_tuple = list(map(tuple, data_adj))\n", 65 | " G.add_edges_from(data_tuple)\n", 66 | " G.remove_nodes_from(list(nx.isolates(G)))\n", 67 | "\n", 68 | " # split into graphs\n", 69 | "\n", 70 | " le = LabelEncoder()\n", 71 | " self.labels_ = le.fit_transform(labels)\n", 72 | " self.n_classes_ = len(le.classes_)\n", 73 | " self.n_graphs_ = len(self.labels_)\n", 74 | "\n", 75 | " graph_num = data_graph_indicator.max()\n", 76 | " node_list = np.arange(data_graph_indicator.shape[0]) + 1\n", 77 | " self.graphs_ = []\n", 78 | "\n", 79 | " for i in range(graph_num):\n", 80 | "\n", 81 | " nodes = node_list[data_graph_indicator == i + 1]\n", 82 | " G_sub = G.subgraph(nodes).copy()\n", 83 | " \n", 84 | " max_cc = max(nx.connected_components(G_sub), key=len)\n", 85 | " G_sub = G_sub.subgraph(max_cc).copy()\n", 86 | " G_sub.graph['label'] = self.labels_ [i]\n", 87 | " nx.convert_node_labels_to_integers(G_sub)\n", 88 | " self.graphs_.append(G_sub) \n", 89 | "\n", 90 | " self.graphs_ = np.array(self.graphs_)\n", 91 | "\n", 92 | " print('Loaded')" 93 | ] 94 | }, 95 | { 96 | "cell_type": "code", 97 | "execution_count": 3, 98 | "metadata": { 99 | "collapsed": true 100 | }, 101 | "outputs": [], 102 | "source": [ 103 | "graphs_name = ['MUTAG', 'PTC_MR', 'ENZYMES', 'PROTEINS_full', 'DD', 'NCI1']\n", 104 | "data_pwd = 'DATASETS/'" 105 | ] 106 | }, 107 | { 108 | "cell_type": "code", 109 | "execution_count": 4, 110 | "metadata": { 111 | "scrolled": false 112 | }, 113 | "outputs": [ 114 | { 115 | "name": "stdout", 116 | "output_type": "stream", 117 | "text": [ 118 | "Loaded\n", 119 | "Loaded\n", 120 | "Loaded\n", 121 | "Loaded\n", 122 | "Loaded\n", 123 | "Loaded\n" 124 | ] 125 | } 126 | ], 127 | "source": [ 128 | "datasets = {}\n", 129 | "for gn in graphs_name:\n", 130 | " datasets[gn] = GraphDataset(folder_path=data_pwd + gn + '/' + gn)" 131 | ] 132 | }, 133 | { 134 | "cell_type": "markdown", 135 | "metadata": {}, 136 | "source": [ 137 | "### Spectral embedding, reshaping and training" 138 | ] 139 | }, 140 | { 141 | "cell_type": "markdown", 142 | "metadata": {}, 143 | "source": [ 144 | "Embedding of the nodes: creation of the spectral features" 145 | ] 146 | }, 147 | { 148 | "cell_type": "code", 149 | "execution_count": 5, 150 | "metadata": { 151 | "collapsed": true 152 | }, 153 | "outputs": [], 154 | "source": [ 155 | "def padded_spectral(graph, embedding_dimension=16, normalized=True):\n", 156 | " \n", 157 | " # Padding with zeros\n", 158 | " embedding = np.zeros(embedding_dimension)\n", 159 | " \n", 160 | " # Usage of networkx graph objects\n", 161 | " adj_matrix = nx.adj_matrix(graph)\n", 162 | " n_nodes, m_nodes = adj_matrix.shape\n", 163 | " k = min(embedding_dimension + 1, n_nodes - 1)\n", 164 | "\n", 165 | " if normalized:\n", 166 | " laplacian = nx.normalized_laplacian_matrix(graph)\n", 167 | " else:\n", 168 | " laplacian = nx.laplacian_matrix(graph)\n", 169 | "\n", 170 | " # Minus the eigen decomposition of minus the Laplacian is more stable than directly\n", 171 | " # computing the eigen decomposition of the Laplacian\n", 172 | " \n", 173 | " v0 = np.random.uniform(-1, 1, laplacian.shape[0])\n", 174 | " eigenvalues = sparse.linalg.eigsh(-laplacian, k=k, sigma=1.0, which='LM', tol=1e-6, v0=v0, return_eigenvectors=False)\n", 175 | " embedding[:len(eigenvalues)-1] = sorted(-eigenvalues)[1:]\n", 176 | " \n", 177 | " return embedding" 178 | ] 179 | }, 180 | { 181 | "cell_type": "code", 182 | "execution_count": 6, 183 | "metadata": { 184 | "collapsed": true 185 | }, 186 | "outputs": [], 187 | "source": [ 188 | "def dataset_embedding(dataset, embedding_dim, normalized=True):\n", 189 | "\n", 190 | " list_graphs = []\n", 191 | " for g in dataset.graphs_:\n", 192 | " x = padded_spectral(g, embedding_dim, normalized)\n", 193 | " y = g.graph['label']\n", 194 | "\n", 195 | " list_graphs.append((x, y))\n", 196 | "\n", 197 | " X = np.array([l[0] for l in list_graphs])\n", 198 | " labels = np.array([l[1] for l in list_graphs])\n", 199 | " \n", 200 | " return X, labels" 201 | ] 202 | }, 203 | { 204 | "cell_type": "code", 205 | "execution_count": 7, 206 | "metadata": { 207 | "collapsed": true 208 | }, 209 | "outputs": [], 210 | "source": [ 211 | "# Mean number of nodes per dataset\n", 212 | "\n", 213 | "embedding_dims = {'MUTAG': 18, 'PTC_MR': 14, 'ENZYMES': 33, 'PROTEINS_full': 39, 'DD': 284, 'NCI1': 30}" 214 | ] 215 | }, 216 | { 217 | "cell_type": "code", 218 | "execution_count": 8, 219 | "metadata": { 220 | "collapsed": true 221 | }, 222 | "outputs": [], 223 | "source": [ 224 | "embedded_datasets = {}\n", 225 | "\n", 226 | "for name, dataset in datasets.items():\n", 227 | " k = embedding_dims[name]\n", 228 | " X, y = dataset_embedding(dataset, k)\n", 229 | " embedded_datasets[name] = {'X': X, 'y': y}" 230 | ] 231 | }, 232 | { 233 | "cell_type": "markdown", 234 | "metadata": {}, 235 | "source": [ 236 | "Training for all datasets and embedding dimensions" 237 | ] 238 | }, 239 | { 240 | "cell_type": "code", 241 | "execution_count": 9, 242 | "metadata": {}, 243 | "outputs": [ 244 | { 245 | "name": "stdout", 246 | "output_type": "stream", 247 | "text": [ 248 | "Dataset: MUTAG, Embedding dim: 18, Accuracy: 0.883918\n", 249 | "Dataset: PTC_MR, Embedding dim: 14, Accuracy: 0.627941\n", 250 | "Dataset: ENZYMES, Embedding dim: 33, Accuracy: 0.436667\n", 251 | "Dataset: PROTEINS_full, Embedding dim: 39, Accuracy: 0.732328\n", 252 | "Dataset: DD, Embedding dim: 284, Accuracy: 0.753799\n", 253 | "Dataset: NCI1, Embedding dim: 30, Accuracy: 0.752792\n" 254 | ] 255 | } 256 | ], 257 | "source": [ 258 | "rf_parameters = {'n_estimators': 500, 'max_depth': 100}\n", 259 | "\n", 260 | "for name, dataset in datasets.items():\n", 261 | "\n", 262 | " X, y = embedded_datasets[name]['X'], embedded_datasets[name]['y']\n", 263 | "\n", 264 | " rf = RandomForestClassifier(**rf_parameters, random_state=1, class_weight='balanced') \n", 265 | " skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1)\n", 266 | "\n", 267 | " cv_results = cross_val_score(rf, X, y, n_jobs=1, cv=skf, scoring='accuracy')\n", 268 | " \n", 269 | " print('Dataset: {}, Embedding dim: {}, Accuracy: {:2f}'.format(name, X.shape[1], np.mean(cv_results)))" 270 | ] 271 | }, 272 | { 273 | "cell_type": "markdown", 274 | "metadata": {}, 275 | "source": [ 276 | "Study on hyper-parametrization" 277 | ] 278 | }, 279 | { 280 | "cell_type": "code", 281 | "execution_count": 10, 282 | "metadata": { 283 | "collapsed": true, 284 | "scrolled": true 285 | }, 286 | "outputs": [], 287 | "source": [ 288 | "import pandas as pd\n", 289 | "\n", 290 | "hp_test_means, hp_test_std = {}, {}\n", 291 | "\n", 292 | "rf_parameters_grid = {'n_estimators': [1, 10, 50, 100, 250, 750, 1000], \n", 293 | " 'min_samples_leaf': [2, 3, 4, 5, 6], \n", 294 | " 'max_depth': [1, 5, 10, 50, 250, 500, 750, 1000], \n", 295 | " 'bootstrap': [False]}\n", 296 | "\n", 297 | "\n", 298 | "rf_parameters_default = {'n_estimators': 500, 'min_samples_leaf': 1, 'max_depth': 100, \n", 299 | " 'bootstrap': True, 'class_weight': 'balanced'}\n", 300 | "\n", 301 | "# Non default parameters\n", 302 | "\n", 303 | "for para_name in rf_parameters_grid:\n", 304 | " \n", 305 | " parameters_index = rf_parameters_grid[para_name] + [rf_parameters_default[para_name]]\n", 306 | " parameters_index.sort()\n", 307 | " \n", 308 | " hp_test_means[para_name] = pd.DataFrame(index=parameters_index, columns=list(datasets.keys()))\n", 309 | " hp_test_std[para_name] = pd.DataFrame(index=parameters_index, columns=list(datasets.keys()))\n", 310 | " \n", 311 | " rf_parameters = rf_parameters_default.copy()\n", 312 | " \n", 313 | " for para_val in rf_parameters_grid[para_name]:\n", 314 | " \n", 315 | " rf_parameters[para_name] = para_val\n", 316 | " \n", 317 | " for name, dataset in datasets.items():\n", 318 | "\n", 319 | " X, y = embedded_datasets[name]['X'], embedded_datasets[name]['y']\n", 320 | "\n", 321 | " rf = RandomForestClassifier(**rf_parameters, random_state=1)\n", 322 | " skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1)\n", 323 | " \n", 324 | " cv_results = cross_val_score(rf, X, y, n_jobs=1, cv=skf, scoring='accuracy')\n", 325 | " hp_test_means[para_name][name][para_val] = np.mean(cv_results)\n", 326 | " hp_test_std[para_name][name][para_val] = np.std(cv_results)\n", 327 | " \n", 328 | "# Default parameters\n", 329 | "\n", 330 | "rf_parameters = rf_parameters_default.copy()\n", 331 | "\n", 332 | "for name, dataset in datasets.items():\n", 333 | "\n", 334 | " X, y = embedded_datasets[name]['X'], embedded_datasets[name]['y']\n", 335 | "\n", 336 | " rf = RandomForestClassifier(**rf_parameters, random_state=1) \n", 337 | " skf = StratifiedKFold(n_splits=10, shuffle=True, random_state=1)\n", 338 | "\n", 339 | " cv_results = cross_val_score(rf, X, y, n_jobs=1, cv=skf, scoring='accuracy')\n", 340 | " \n", 341 | " for para_name in rf_parameters_grid:\n", 342 | " hp_test_means[para_name][name][rf_parameters[para_name]] = np.mean(cv_results)\n", 343 | " hp_test_std[para_name][name][rf_parameters[para_name]] = np.std(cv_results) " 344 | ] 345 | }, 346 | { 347 | "cell_type": "code", 348 | "execution_count": 11, 349 | "metadata": {}, 350 | "outputs": [ 351 | { 352 | "data": { 353 | "text/html": [ 354 | "
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" 788 | ], 789 | "text/plain": [ 790 | " MUTAG PTC_MR ENZYMES PROTEINS_full DD NCI1\n", 791 | "False 0.868099 0.62451 0.43 0.721517 0.749562 0.751094\n", 792 | "True 0.883918 0.627941 0.436667 0.732328 0.753799 0.752792" 793 | ] 794 | }, 795 | "execution_count": 14, 796 | "metadata": {}, 797 | "output_type": "execute_result" 798 | } 799 | ], 800 | "source": [ 801 | "hp_test_means['bootstrap']" 802 | ] 803 | }, 804 | { 805 | "cell_type": "code", 806 | "execution_count": 15, 807 | "metadata": {}, 808 | "outputs": [ 809 | { 810 | "data": { 811 | "text/plain": [ 812 | "" 813 | ] 814 | }, 815 | "execution_count": 15, 816 | "metadata": {}, 817 | "output_type": "execute_result" 818 | }, 819 | { 820 | "data": { 821 | "image/png": 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A08zsWDMbDfSTtGpZumohGdT3gB8Bz+LnPGsg9gF2WpSBSJ7mRsBbwPtpnXBDeSPeBdy4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\n", 822 | "text/plain": [ 823 | "" 824 | ] 825 | }, 826 | "metadata": {}, 827 | "output_type": "display_data" 828 | } 829 | ], 830 | "source": [ 831 | "hp_test_means['bootstrap'].plot(kind='box', figsize=(4, 2), grid=True, title='bootstrap', rot=45)" 832 | ] 833 | }, 834 | { 835 | "cell_type": "code", 836 | "execution_count": 16, 837 | "metadata": {}, 838 | "outputs": [ 839 | { 840 | "data": { 841 | "text/plain": [ 842 | "" 843 | ] 844 | }, 845 | "execution_count": 16, 846 | "metadata": {}, 847 | "output_type": "execute_result" 848 | }, 849 | { 850 | "data": { 851 | "image/png": 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SxiEIglyGinG4pGwBOYSm2ghNtVOoriERcwiCoP4MFc8hCII6E8YhCIJcwjgEQZDLkDcO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\n+X8Bb56jh8va/wAAAABJRU5ErkJggg==\n", 852 | "text/plain": [ 853 | "" 854 | ] 855 | }, 856 | "metadata": {}, 857 | "output_type": "display_data" 858 | } 859 | ], 860 | "source": [ 861 | "hp_test_means['n_estimators'].plot(kind='box', figsize=(4, 2), grid=True, title='n_estimators', rot=45)" 862 | ] 863 | }, 864 | { 865 | "cell_type": "code", 866 | "execution_count": 17, 867 | "metadata": {}, 868 | "outputs": [ 869 | { 870 | "data": { 871 | "text/plain": [ 872 | "" 873 | ] 874 | }, 875 | "execution_count": 17, 876 | "metadata": {}, 877 | "output_type": "execute_result" 878 | }, 879 | { 880 | "data": { 881 | "image/png": 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np+Xt8CpEY1GZ3fBh6fbNW++a/pe7gBXE+I39ECliSwqs5aBjDPBe0fK2+CAi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\ngiCTMA5BEGQSxiEIgkzCOARBkMn/AxKDqQ+JqxT6AAAAAElFTkSuQmCC\n", 882 | "text/plain": [ 883 | "" 884 | ] 885 | }, 886 | "metadata": {}, 887 | "output_type": "display_data" 888 | } 889 | ], 890 | "source": [ 891 | "hp_test_means['min_samples_leaf'].plot(kind='box', figsize=(4, 2), grid=True, title='min_samples_leaf', rot=45)" 892 | ] 893 | }, 894 | { 895 | "cell_type": "code", 896 | "execution_count": 18, 897 | "metadata": {}, 898 | "outputs": [ 899 | { 900 | "data": { 901 | "text/plain": [ 902 | "" 903 | ] 904 | }, 905 | "execution_count": 18, 906 | "metadata": {}, 907 | "output_type": "execute_result" 908 | }, 909 | { 910 | "data": { 911 | "image/png": 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912 | "text/plain": [ 913 | "" 914 | ] 915 | }, 916 | "metadata": {}, 917 | "output_type": "display_data" 918 | } 919 | ], 920 | "source": [ 921 | "hp_test_means['max_depth'].plot(kind='box', figsize=(4, 2), grid=True, title='max_depth', rot=45)" 922 | ] 923 | } 924 | ], 925 | "metadata": { 926 | "kernelspec": { 927 | "display_name": "Python 3", 928 | "language": "python", 929 | "name": "python3" 930 | }, 931 | "language_info": { 932 | "codemirror_mode": { 933 | "name": "ipython", 934 | "version": 3 935 | }, 936 | "file_extension": ".py", 937 | "mimetype": "text/x-python", 938 | "name": "python", 939 | "nbconvert_exporter": "python", 940 | "pygments_lexer": "ipython3", 941 | "version": "3.6.3" 942 | } 943 | }, 944 | "nbformat": 4, 945 | "nbformat_minor": 2 946 | } 947 | -------------------------------------------------------------------------------- /DATASETS/PTC_MR/PTC_MR_graph_indicator.txt: -------------------------------------------------------------------------------- 1 | 1 2 | 1 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1131 | 84 1132 | 84 1133 | 84 1134 | 84 1135 | 84 1136 | 84 1137 | 84 1138 | 84 1139 | 84 1140 | 84 1141 | 84 1142 | 84 1143 | 84 1144 | 84 1145 | 85 1146 | 85 1147 | 85 1148 | 85 1149 | 85 1150 | 85 1151 | 85 1152 | 85 1153 | 85 1154 | 85 1155 | 86 1156 | 86 1157 | 86 1158 | 86 1159 | 86 1160 | 86 1161 | 86 1162 | 86 1163 | 86 1164 | 86 1165 | 86 1166 | 86 1167 | 86 1168 | 86 1169 | 86 1170 | 86 1171 | 86 1172 | 86 1173 | 86 1174 | 86 1175 | 86 1176 | 86 1177 | 86 1178 | 86 1179 | 86 1180 | 86 1181 | 86 1182 | 86 1183 | 86 1184 | 86 1185 | 86 1186 | 87 1187 | 87 1188 | 87 1189 | 87 1190 | 87 1191 | 87 1192 | 87 1193 | 87 1194 | 87 1195 | 87 1196 | 87 1197 | 88 1198 | 88 1199 | 88 1200 | 88 1201 | 88 1202 | 88 1203 | 89 1204 | 89 1205 | 89 1206 | 89 1207 | 89 1208 | 89 1209 | 89 1210 | 89 1211 | 89 1212 | 89 1213 | 89 1214 | 89 1215 | 89 1216 | 89 1217 | 90 1218 | 90 1219 | 90 1220 | 90 1221 | 90 1222 | 91 1223 | 91 1224 | 91 1225 | 91 1226 | 91 1227 | 91 1228 | 91 1229 | 91 1230 | 91 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102 1330 | 102 1331 | 102 1332 | 102 1333 | 102 1334 | 102 1335 | 102 1336 | 102 1337 | 102 1338 | 102 1339 | 102 1340 | 102 1341 | 102 1342 | 102 1343 | 102 1344 | 102 1345 | 102 1346 | 102 1347 | 102 1348 | 102 1349 | 102 1350 | 102 1351 | 102 1352 | 102 1353 | 102 1354 | 103 1355 | 103 1356 | 103 1357 | 103 1358 | 103 1359 | 103 1360 | 103 1361 | 103 1362 | 103 1363 | 103 1364 | 103 1365 | 103 1366 | 103 1367 | 103 1368 | 103 1369 | 104 1370 | 104 1371 | 104 1372 | 104 1373 | 105 1374 | 105 1375 | 105 1376 | 105 1377 | 105 1378 | 105 1379 | 105 1380 | 105 1381 | 105 1382 | 105 1383 | 105 1384 | 105 1385 | 105 1386 | 105 1387 | 105 1388 | 105 1389 | 105 1390 | 105 1391 | 105 1392 | 105 1393 | 106 1394 | 106 1395 | 106 1396 | 106 1397 | 106 1398 | 106 1399 | 106 1400 | 106 1401 | 106 1402 | 106 1403 | 106 1404 | 106 1405 | 107 1406 | 107 1407 | 107 1408 | 107 1409 | 107 1410 | 107 1411 | 107 1412 | 108 1413 | 108 1414 | 108 1415 | 108 1416 | 108 1417 | 109 1418 | 109 1419 | 109 1420 | 109 1421 | 109 1422 | 109 1423 | 109 1424 | 109 1425 | 109 1426 | 109 1427 | 109 1428 | 109 1429 | 109 1430 | 109 1431 | 109 1432 | 109 1433 | 109 1434 | 109 1435 | 109 1436 | 109 1437 | 109 1438 | 109 1439 | 109 1440 | 109 1441 | 109 1442 | 109 1443 | 110 1444 | 110 1445 | 110 1446 | 110 1447 | 110 1448 | 110 1449 | 110 1450 | 110 1451 | 111 1452 | 111 1453 | 111 1454 | 111 1455 | 111 1456 | 111 1457 | 111 1458 | 111 1459 | 111 1460 | 111 1461 | 111 1462 | 111 1463 | 111 1464 | 112 1465 | 112 1466 | 112 1467 | 112 1468 | 112 1469 | 112 1470 | 113 1471 | 113 1472 | 113 1473 | 113 1474 | 113 1475 | 114 1476 | 114 1477 | 114 1478 | 114 1479 | 114 1480 | 114 1481 | 114 1482 | 114 1483 | 114 1484 | 114 1485 | 114 1486 | 115 1487 | 115 1488 | 115 1489 | 115 1490 | 115 1491 | 115 1492 | 115 1493 | 115 1494 | 115 1495 | 115 1496 | 115 1497 | 115 1498 | 115 1499 | 115 1500 | 115 1501 | 115 1502 | 115 1503 | 115 1504 | 115 1505 | 115 1506 | 115 1507 | 115 1508 | 116 1509 | 116 1510 | 116 1511 | 116 1512 | 116 1513 | 116 1514 | 116 1515 | 116 1516 | 116 1517 | 116 1518 | 116 1519 | 116 1520 | 116 1521 | 116 1522 | 116 1523 | 116 1524 | 116 1525 | 116 1526 | 116 1527 | 116 1528 | 116 1529 | 116 1530 | 116 1531 | 117 1532 | 117 1533 | 117 1534 | 117 1535 | 117 1536 | 117 1537 | 117 1538 | 117 1539 | 117 1540 | 117 1541 | 117 1542 | 117 1543 | 118 1544 | 118 1545 | 118 1546 | 118 1547 | 118 1548 | 118 1549 | 118 1550 | 118 1551 | 118 1552 | 118 1553 | 118 1554 | 118 1555 | 118 1556 | 118 1557 | 118 1558 | 118 1559 | 118 1560 | 119 1561 | 119 1562 | 119 1563 | 119 1564 | 119 1565 | 119 1566 | 119 1567 | 119 1568 | 119 1569 | 119 1570 | 119 1571 | 119 1572 | 119 1573 | 119 1574 | 119 1575 | 119 1576 | 119 1577 | 119 1578 | 119 1579 | 119 1580 | 119 1581 | 119 1582 | 119 1583 | 119 1584 | 119 1585 | 119 1586 | 119 1587 | 119 1588 | 119 1589 | 119 1590 | 120 1591 | 120 1592 | 120 1593 | 120 1594 | 120 1595 | 120 1596 | 120 1597 | 120 1598 | 120 1599 | 120 1600 | 120 1601 | 120 1602 | 120 1603 | 120 1604 | 120 1605 | 120 1606 | 120 1607 | 120 1608 | 120 1609 | 120 1610 | 120 1611 | 120 1612 | 121 1613 | 121 1614 | 121 1615 | 122 1616 | 122 1617 | 122 1618 | 122 1619 | 122 1620 | 122 1621 | 122 1622 | 122 1623 | 122 1624 | 122 1625 | 122 1626 | 122 1627 | 123 1628 | 123 1629 | 123 1630 | 123 1631 | 123 1632 | 123 1633 | 123 1634 | 123 1635 | 123 1636 | 123 1637 | 123 1638 | 123 1639 | 123 1640 | 123 1641 | 123 1642 | 123 1643 | 123 1644 | 123 1645 | 123 1646 | 124 1647 | 124 1648 | 124 1649 | 124 1650 | 124 1651 | 124 1652 | 124 1653 | 125 1654 | 125 1655 | 125 1656 | 125 1657 | 125 1658 | 125 1659 | 125 1660 | 125 1661 | 125 1662 | 125 1663 | 125 1664 | 125 1665 | 125 1666 | 125 1667 | 125 1668 | 125 1669 | 125 1670 | 125 1671 | 125 1672 | 125 1673 | 125 1674 | 125 1675 | 125 1676 | 126 1677 | 126 1678 | 126 1679 | 126 1680 | 126 1681 | 127 1682 | 127 1683 | 127 1684 | 127 1685 | 127 1686 | 127 1687 | 127 1688 | 127 1689 | 127 1690 | 127 1691 | 127 1692 | 127 1693 | 127 1694 | 127 1695 | 127 1696 | 127 1697 | 127 1698 | 127 1699 | 127 1700 | 127 1701 | 127 1702 | 127 1703 | 127 1704 | 127 1705 | 127 1706 | 127 1707 | 127 1708 | 127 1709 | 127 1710 | 127 1711 | 127 1712 | 127 1713 | 127 1714 | 127 1715 | 127 1716 | 127 1717 | 127 1718 | 127 1719 | 127 1720 | 127 1721 | 127 1722 | 127 1723 | 127 1724 | 127 1725 | 127 1726 | 127 1727 | 127 1728 | 127 1729 | 127 1730 | 127 1731 | 127 1732 | 127 1733 | 127 1734 | 127 1735 | 127 1736 | 127 1737 | 127 1738 | 127 1739 | 127 1740 | 127 1741 | 127 1742 | 127 1743 | 127 1744 | 127 1745 | 128 1746 | 128 1747 | 128 1748 | 128 1749 | 128 1750 | 128 1751 | 128 1752 | 128 1753 | 128 1754 | 128 1755 | 128 1756 | 129 1757 | 129 1758 | 129 1759 | 129 1760 | 129 1761 | 129 1762 | 129 1763 | 129 1764 | 129 1765 | 129 1766 | 129 1767 | 129 1768 | 129 1769 | 129 1770 | 129 1771 | 129 1772 | 129 1773 | 129 1774 | 129 1775 | 129 1776 | 129 1777 | 129 1778 | 129 1779 | 129 1780 | 129 1781 | 129 1782 | 130 1783 | 130 1784 | 130 1785 | 130 1786 | 130 1787 | 130 1788 | 130 1789 | 130 1790 | 130 1791 | 130 1792 | 130 1793 | 130 1794 | 130 1795 | 130 1796 | 130 1797 | 130 1798 | 130 1799 | 130 1800 | 130 1801 | 130 1802 | 130 1803 | 130 1804 | 130 1805 | 130 1806 | 130 1807 | 131 1808 | 131 1809 | 131 1810 | 131 1811 | 131 1812 | 132 1813 | 132 1814 | 132 1815 | 132 1816 | 132 1817 | 132 1818 | 132 1819 | 132 1820 | 132 1821 | 132 1822 | 132 1823 | 133 1824 | 133 1825 | 133 1826 | 133 1827 | 133 1828 | 133 1829 | 133 1830 | 133 1831 | 133 1832 | 133 1833 | 133 1834 | 133 1835 | 133 1836 | 133 1837 | 133 1838 | 133 1839 | 133 1840 | 133 1841 | 133 1842 | 133 1843 | 133 1844 | 133 1845 | 133 1846 | 133 1847 | 133 1848 | 133 1849 | 133 1850 | 133 1851 | 133 1852 | 133 1853 | 134 1854 | 134 1855 | 134 1856 | 134 1857 | 134 1858 | 134 1859 | 134 1860 | 134 1861 | 134 1862 | 134 1863 | 134 1864 | 134 1865 | 134 1866 | 134 1867 | 134 1868 | 134 1869 | 134 1870 | 135 1871 | 135 1872 | 135 1873 | 135 1874 | 135 1875 | 135 1876 | 135 1877 | 135 1878 | 135 1879 | 135 1880 | 135 1881 | 135 1882 | 135 1883 | 136 1884 | 136 1885 | 136 1886 | 136 1887 | 136 1888 | 136 1889 | 136 1890 | 136 1891 | 136 1892 | 136 1893 | 136 1894 | 136 1895 | 136 1896 | 136 1897 | 136 1898 | 136 1899 | 136 1900 | 136 1901 | 136 1902 | 136 1903 | 136 1904 | 136 1905 | 136 1906 | 137 1907 | 137 1908 | 137 1909 | 137 1910 | 137 1911 | 137 1912 | 137 1913 | 137 1914 | 137 1915 | 137 1916 | 137 1917 | 137 1918 | 138 1919 | 138 1920 | 138 1921 | 138 1922 | 138 1923 | 138 1924 | 138 1925 | 138 1926 | 138 1927 | 138 1928 | 138 1929 | 138 1930 | 138 1931 | 139 1932 | 139 1933 | 139 1934 | 139 1935 | 139 1936 | 139 1937 | 140 1938 | 140 1939 | 140 1940 | 140 1941 | 140 1942 | 140 1943 | 140 1944 | 140 1945 | 140 1946 | 140 1947 | 141 1948 | 141 1949 | 141 1950 | 141 1951 | 141 1952 | 141 1953 | 141 1954 | 141 1955 | 141 1956 | 141 1957 | 141 1958 | 141 1959 | 141 1960 | 141 1961 | 141 1962 | 142 1963 | 142 1964 | 142 1965 | 142 1966 | 142 1967 | 142 1968 | 142 1969 | 142 1970 | 142 1971 | 142 1972 | 142 1973 | 142 1974 | 142 1975 | 142 1976 | 142 1977 | 142 1978 | 143 1979 | 143 1980 | 143 1981 | 143 1982 | 143 1983 | 143 1984 | 143 1985 | 144 1986 | 144 1987 | 144 1988 | 144 1989 | 144 1990 | 144 1991 | 144 1992 | 144 1993 | 144 1994 | 144 1995 | 144 1996 | 144 1997 | 144 1998 | 144 1999 | 144 2000 | 144 2001 | 145 2002 | 145 2003 | 145 2004 | 145 2005 | 145 2006 | 145 2007 | 145 2008 | 145 2009 | 145 2010 | 145 2011 | 145 2012 | 145 2013 | 145 2014 | 145 2015 | 145 2016 | 145 2017 | 146 2018 | 146 2019 | 146 2020 | 146 2021 | 146 2022 | 146 2023 | 146 2024 | 146 2025 | 146 2026 | 146 2027 | 147 2028 | 147 2029 | 147 2030 | 147 2031 | 147 2032 | 147 2033 | 147 2034 | 147 2035 | 147 2036 | 148 2037 | 148 2038 | 148 2039 | 148 2040 | 148 2041 | 148 2042 | 148 2043 | 148 2044 | 148 2045 | 148 2046 | 148 2047 | 149 2048 | 149 2049 | 149 2050 | 149 2051 | 149 2052 | 149 2053 | 149 2054 | 149 2055 | 149 2056 | 149 2057 | 149 2058 | 149 2059 | 150 2060 | 150 2061 | 150 2062 | 150 2063 | 150 2064 | 150 2065 | 150 2066 | 150 2067 | 150 2068 | 150 2069 | 150 2070 | 150 2071 | 150 2072 | 151 2073 | 151 2074 | 151 2075 | 151 2076 | 151 2077 | 151 2078 | 151 2079 | 151 2080 | 151 2081 | 151 2082 | 151 2083 | 151 2084 | 151 2085 | 151 2086 | 151 2087 | 152 2088 | 152 2089 | 152 2090 | 152 2091 | 152 2092 | 152 2093 | 152 2094 | 152 2095 | 152 2096 | 152 2097 | 152 2098 | 152 2099 | 152 2100 | 152 2101 | 152 2102 | 152 2103 | 152 2104 | 152 2105 | 152 2106 | 152 2107 | 152 2108 | 152 2109 | 152 2110 | 152 2111 | 152 2112 | 152 2113 | 152 2114 | 152 2115 | 153 2116 | 153 2117 | 153 2118 | 153 2119 | 153 2120 | 153 2121 | 153 2122 | 153 2123 | 153 2124 | 153 2125 | 153 2126 | 153 2127 | 154 2128 | 154 2129 | 154 2130 | 154 2131 | 154 2132 | 154 2133 | 154 2134 | 154 2135 | 154 2136 | 154 2137 | 154 2138 | 154 2139 | 154 2140 | 154 2141 | 155 2142 | 155 2143 | 155 2144 | 155 2145 | 155 2146 | 155 2147 | 155 2148 | 155 2149 | 155 2150 | 156 2151 | 156 2152 | 156 2153 | 156 2154 | 156 2155 | 156 2156 | 156 2157 | 156 2158 | 156 2159 | 156 2160 | 156 2161 | 156 2162 | 156 2163 | 156 2164 | 157 2165 | 157 2166 | 157 2167 | 157 2168 | 158 2169 | 158 2170 | 158 2171 | 158 2172 | 158 2173 | 158 2174 | 158 2175 | 158 2176 | 158 2177 | 158 2178 | 158 2179 | 158 2180 | 158 2181 | 158 2182 | 158 2183 | 158 2184 | 158 2185 | 158 2186 | 159 2187 | 159 2188 | 159 2189 | 159 2190 | 159 2191 | 159 2192 | 159 2193 | 159 2194 | 159 2195 | 159 2196 | 160 2197 | 160 2198 | 160 2199 | 160 2200 | 161 2201 | 161 2202 | 161 2203 | 161 2204 | 161 2205 | 161 2206 | 161 2207 | 161 2208 | 161 2209 | 161 2210 | 161 2211 | 161 2212 | 161 2213 | 161 2214 | 161 2215 | 162 2216 | 162 2217 | 162 2218 | 162 2219 | 162 2220 | 162 2221 | 162 2222 | 162 2223 | 163 2224 | 163 2225 | 163 2226 | 163 2227 | 163 2228 | 163 2229 | 163 2230 | 163 2231 | 163 2232 | 163 2233 | 163 2234 | 163 2235 | 163 2236 | 163 2237 | 163 2238 | 163 2239 | 163 2240 | 163 2241 | 163 2242 | 163 2243 | 163 2244 | 163 2245 | 163 2246 | 163 2247 | 163 2248 | 163 2249 | 163 2250 | 163 2251 | 163 2252 | 164 2253 | 164 2254 | 164 2255 | 164 2256 | 164 2257 | 164 2258 | 164 2259 | 164 2260 | 164 2261 | 164 2262 | 164 2263 | 164 2264 | 165 2265 | 165 2266 | 165 2267 | 165 2268 | 165 2269 | 165 2270 | 165 2271 | 165 2272 | 165 2273 | 165 2274 | 165 2275 | 165 2276 | 165 2277 | 165 2278 | 165 2279 | 165 2280 | 165 2281 | 165 2282 | 165 2283 | 165 2284 | 165 2285 | 165 2286 | 165 2287 | 165 2288 | 165 2289 | 165 2290 | 166 2291 | 166 2292 | 166 2293 | 166 2294 | 166 2295 | 166 2296 | 166 2297 | 166 2298 | 166 2299 | 166 2300 | 166 2301 | 166 2302 | 166 2303 | 166 2304 | 166 2305 | 166 2306 | 167 2307 | 167 2308 | 167 2309 | 167 2310 | 167 2311 | 167 2312 | 167 2313 | 167 2314 | 167 2315 | 167 2316 | 167 2317 | 167 2318 | 167 2319 | 167 2320 | 167 2321 | 167 2322 | 167 2323 | 167 2324 | 167 2325 | 168 2326 | 168 2327 | 168 2328 | 168 2329 | 168 2330 | 168 2331 | 168 2332 | 168 2333 | 168 2334 | 168 2335 | 168 2336 | 168 2337 | 168 2338 | 168 2339 | 168 2340 | 168 2341 | 168 2342 | 168 2343 | 168 2344 | 168 2345 | 168 2346 | 168 2347 | 168 2348 | 169 2349 | 169 2350 | 169 2351 | 169 2352 | 169 2353 | 169 2354 | 169 2355 | 169 2356 | 169 2357 | 169 2358 | 169 2359 | 169 2360 | 169 2361 | 169 2362 | 169 2363 | 169 2364 | 169 2365 | 169 2366 | 169 2367 | 169 2368 | 169 2369 | 169 2370 | 170 2371 | 170 2372 | 170 2373 | 170 2374 | 170 2375 | 170 2376 | 171 2377 | 171 2378 | 171 2379 | 171 2380 | 171 2381 | 171 2382 | 171 2383 | 171 2384 | 171 2385 | 171 2386 | 171 2387 | 171 2388 | 171 2389 | 171 2390 | 171 2391 | 171 2392 | 171 2393 | 171 2394 | 171 2395 | 171 2396 | 171 2397 | 171 2398 | 171 2399 | 171 2400 | 172 2401 | 172 2402 | 172 2403 | 172 2404 | 173 2405 | 173 2406 | 173 2407 | 173 2408 | 173 2409 | 173 2410 | 173 2411 | 173 2412 | 173 2413 | 173 2414 | 173 2415 | 173 2416 | 173 2417 | 173 2418 | 173 2419 | 173 2420 | 173 2421 | 173 2422 | 173 2423 | 173 2424 | 173 2425 | 173 2426 | 174 2427 | 174 2428 | 174 2429 | 174 2430 | 174 2431 | 174 2432 | 174 2433 | 174 2434 | 174 2435 | 175 2436 | 175 2437 | 175 2438 | 175 2439 | 175 2440 | 175 2441 | 175 2442 | 175 2443 | 176 2444 | 176 2445 | 176 2446 | 176 2447 | 176 2448 | 176 2449 | 176 2450 | 176 2451 | 176 2452 | 176 2453 | 176 2454 | 176 2455 | 176 2456 | 176 2457 | 176 2458 | 176 2459 | 176 2460 | 176 2461 | 176 2462 | 176 2463 | 176 2464 | 176 2465 | 176 2466 | 176 2467 | 177 2468 | 177 2469 | 177 2470 | 177 2471 | 177 2472 | 178 2473 | 178 2474 | 178 2475 | 178 2476 | 178 2477 | 178 2478 | 178 2479 | 178 2480 | 178 2481 | 178 2482 | 178 2483 | 178 2484 | 178 2485 | 178 2486 | 179 2487 | 179 2488 | 179 2489 | 179 2490 | 179 2491 | 179 2492 | 179 2493 | 179 2494 | 179 2495 | 179 2496 | 179 2497 | 179 2498 | 179 2499 | 179 2500 | 179 2501 | 179 2502 | 179 2503 | 179 2504 | 179 2505 | 179 2506 | 179 2507 | 179 2508 | 179 2509 | 179 2510 | 179 2511 | 179 2512 | 179 2513 | 179 2514 | 179 2515 | 179 2516 | 179 2517 | 179 2518 | 179 2519 | 179 2520 | 179 2521 | 179 2522 | 179 2523 | 179 2524 | 179 2525 | 179 2526 | 179 2527 | 179 2528 | 179 2529 | 179 2530 | 179 2531 | 179 2532 | 179 2533 | 179 2534 | 179 2535 | 179 2536 | 179 2537 | 179 2538 | 179 2539 | 179 2540 | 179 2541 | 179 2542 | 180 2543 | 180 2544 | 180 2545 | 180 2546 | 180 2547 | 180 2548 | 180 2549 | 180 2550 | 180 2551 | 180 2552 | 180 2553 | 180 2554 | 180 2555 | 180 2556 | 181 2557 | 181 2558 | 181 2559 | 181 2560 | 181 2561 | 181 2562 | 181 2563 | 181 2564 | 181 2565 | 181 2566 | 181 2567 | 181 2568 | 181 2569 | 181 2570 | 181 2571 | 181 2572 | 181 2573 | 181 2574 | 181 2575 | 181 2576 | 181 2577 | 181 2578 | 181 2579 | 181 2580 | 181 2581 | 181 2582 | 181 2583 | 181 2584 | 181 2585 | 181 2586 | 181 2587 | 181 2588 | 181 2589 | 182 2590 | 182 2591 | 182 2592 | 182 2593 | 182 2594 | 182 2595 | 182 2596 | 182 2597 | 182 2598 | 183 2599 | 183 2600 | 183 2601 | 183 2602 | 183 2603 | 183 2604 | 184 2605 | 184 2606 | 184 2607 | 184 2608 | 184 2609 | 184 2610 | 184 2611 | 184 2612 | 184 2613 | 184 2614 | 184 2615 | 184 2616 | 185 2617 | 185 2618 | 185 2619 | 185 2620 | 185 2621 | 185 2622 | 185 2623 | 185 2624 | 185 2625 | 185 2626 | 185 2627 | 185 2628 | 185 2629 | 185 2630 | 185 2631 | 185 2632 | 185 2633 | 185 2634 | 185 2635 | 185 2636 | 186 2637 | 186 2638 | 186 2639 | 186 2640 | 186 2641 | 186 2642 | 186 2643 | 186 2644 | 186 2645 | 186 2646 | 186 2647 | 186 2648 | 186 2649 | 186 2650 | 186 2651 | 186 2652 | 186 2653 | 186 2654 | 186 2655 | 186 2656 | 186 2657 | 186 2658 | 187 2659 | 187 2660 | 187 2661 | 187 2662 | 187 2663 | 187 2664 | 187 2665 | 187 2666 | 187 2667 | 187 2668 | 187 2669 | 187 2670 | 188 2671 | 188 2672 | 188 2673 | 188 2674 | 188 2675 | 188 2676 | 188 2677 | 189 2678 | 189 2679 | 189 2680 | 189 2681 | 189 2682 | 189 2683 | 189 2684 | 189 2685 | 189 2686 | 189 2687 | 189 2688 | 189 2689 | 189 2690 | 189 2691 | 189 2692 | 189 2693 | 189 2694 | 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240 3514 | 240 3515 | 240 3516 | 240 3517 | 240 3518 | 240 3519 | 241 3520 | 241 3521 | 241 3522 | 241 3523 | 241 3524 | 241 3525 | 241 3526 | 241 3527 | 241 3528 | 241 3529 | 241 3530 | 241 3531 | 241 3532 | 241 3533 | 241 3534 | 241 3535 | 242 3536 | 242 3537 | 242 3538 | 242 3539 | 242 3540 | 242 3541 | 242 3542 | 242 3543 | 242 3544 | 242 3545 | 242 3546 | 242 3547 | 242 3548 | 242 3549 | 242 3550 | 242 3551 | 242 3552 | 242 3553 | 242 3554 | 242 3555 | 243 3556 | 243 3557 | 243 3558 | 243 3559 | 243 3560 | 243 3561 | 243 3562 | 243 3563 | 243 3564 | 243 3565 | 243 3566 | 243 3567 | 243 3568 | 243 3569 | 243 3570 | 243 3571 | 243 3572 | 243 3573 | 243 3574 | 243 3575 | 243 3576 | 243 3577 | 243 3578 | 243 3579 | 243 3580 | 243 3581 | 243 3582 | 243 3583 | 243 3584 | 243 3585 | 243 3586 | 243 3587 | 243 3588 | 243 3589 | 243 3590 | 243 3591 | 243 3592 | 243 3593 | 243 3594 | 243 3595 | 243 3596 | 243 3597 | 243 3598 | 243 3599 | 244 3600 | 244 3601 | 244 3602 | 244 3603 | 244 3604 | 244 3605 | 244 3606 | 244 3607 | 244 3608 | 244 3609 | 244 3610 | 244 3611 | 244 3612 | 244 3613 | 244 3614 | 244 3615 | 244 3616 | 244 3617 | 244 3618 | 245 3619 | 245 3620 | 245 3621 | 245 3622 | 245 3623 | 245 3624 | 245 3625 | 245 3626 | 245 3627 | 245 3628 | 245 3629 | 245 3630 | 245 3631 | 245 3632 | 245 3633 | 245 3634 | 245 3635 | 245 3636 | 245 3637 | 246 3638 | 246 3639 | 246 3640 | 246 3641 | 246 3642 | 246 3643 | 246 3644 | 246 3645 | 246 3646 | 246 3647 | 246 3648 | 246 3649 | 246 3650 | 246 3651 | 246 3652 | 246 3653 | 247 3654 | 247 3655 | 247 3656 | 247 3657 | 247 3658 | 247 3659 | 247 3660 | 247 3661 | 247 3662 | 247 3663 | 247 3664 | 247 3665 | 247 3666 | 247 3667 | 247 3668 | 247 3669 | 248 3670 | 248 3671 | 248 3672 | 248 3673 | 248 3674 | 248 3675 | 248 3676 | 248 3677 | 248 3678 | 249 3679 | 249 3680 | 249 3681 | 249 3682 | 249 3683 | 249 3684 | 249 3685 | 249 3686 | 249 3687 | 249 3688 | 249 3689 | 249 3690 | 249 3691 | 249 3692 | 249 3693 | 250 3694 | 250 3695 | 250 3696 | 250 3697 | 250 3698 | 250 3699 | 250 3700 | 250 3701 | 250 3702 | 250 3703 | 250 3704 | 250 3705 | 250 3706 | 250 3707 | 250 3708 | 250 3709 | 250 3710 | 250 3711 | 250 3712 | 251 3713 | 251 3714 | 251 3715 | 251 3716 | 251 3717 | 251 3718 | 251 3719 | 251 3720 | 251 3721 | 251 3722 | 251 3723 | 251 3724 | 252 3725 | 252 3726 | 252 3727 | 252 3728 | 252 3729 | 252 3730 | 252 3731 | 252 3732 | 252 3733 | 252 3734 | 252 3735 | 252 3736 | 252 3737 | 252 3738 | 252 3739 | 252 3740 | 252 3741 | 252 3742 | 252 3743 | 252 3744 | 253 3745 | 253 3746 | 253 3747 | 253 3748 | 253 3749 | 253 3750 | 253 3751 | 253 3752 | 253 3753 | 253 3754 | 253 3755 | 253 3756 | 253 3757 | 254 3758 | 254 3759 | 254 3760 | 254 3761 | 254 3762 | 254 3763 | 254 3764 | 254 3765 | 254 3766 | 254 3767 | 254 3768 | 254 3769 | 254 3770 | 254 3771 | 254 3772 | 254 3773 | 254 3774 | 254 3775 | 254 3776 | 255 3777 | 255 3778 | 255 3779 | 255 3780 | 255 3781 | 255 3782 | 255 3783 | 255 3784 | 255 3785 | 255 3786 | 255 3787 | 255 3788 | 255 3789 | 255 3790 | 255 3791 | 255 3792 | 255 3793 | 256 3794 | 256 3795 | 256 3796 | 256 3797 | 256 3798 | 256 3799 | 256 3800 | 256 3801 | 256 3802 | 256 3803 | 256 3804 | 256 3805 | 257 3806 | 257 3807 | 257 3808 | 257 3809 | 257 3810 | 257 3811 | 257 3812 | 257 3813 | 257 3814 | 257 3815 | 257 3816 | 257 3817 | 257 3818 | 257 3819 | 257 3820 | 257 3821 | 257 3822 | 257 3823 | 257 3824 | 258 3825 | 258 3826 | 258 3827 | 258 3828 | 258 3829 | 258 3830 | 258 3831 | 258 3832 | 258 3833 | 258 3834 | 258 3835 | 258 3836 | 258 3837 | 258 3838 | 258 3839 | 258 3840 | 258 3841 | 258 3842 | 258 3843 | 258 3844 | 259 3845 | 259 3846 | 259 3847 | 259 3848 | 259 3849 | 259 3850 | 260 3851 | 260 3852 | 260 3853 | 261 3854 | 261 3855 | 261 3856 | 261 3857 | 261 3858 | 261 3859 | 261 3860 | 261 3861 | 261 3862 | 261 3863 | 261 3864 | 261 3865 | 261 3866 | 261 3867 | 261 3868 | 261 3869 | 261 3870 | 261 3871 | 261 3872 | 261 3873 | 262 3874 | 262 3875 | 262 3876 | 262 3877 | 262 3878 | 262 3879 | 262 3880 | 262 3881 | 262 3882 | 262 3883 | 262 3884 | 262 3885 | 262 3886 | 262 3887 | 262 3888 | 262 3889 | 262 3890 | 263 3891 | 263 3892 | 263 3893 | 263 3894 | 263 3895 | 263 3896 | 263 3897 | 263 3898 | 263 3899 | 263 3900 | 263 3901 | 263 3902 | 263 3903 | 263 3904 | 263 3905 | 263 3906 | 263 3907 | 263 3908 | 263 3909 | 264 3910 | 264 3911 | 264 3912 | 264 3913 | 264 3914 | 264 3915 | 264 3916 | 264 3917 | 264 3918 | 264 3919 | 264 3920 | 264 3921 | 264 3922 | 264 3923 | 264 3924 | 264 3925 | 264 3926 | 264 3927 | 264 3928 | 264 3929 | 265 3930 | 265 3931 | 265 3932 | 265 3933 | 265 3934 | 265 3935 | 265 3936 | 265 3937 | 265 3938 | 265 3939 | 265 3940 | 265 3941 | 265 3942 | 265 3943 | 265 3944 | 265 3945 | 265 3946 | 265 3947 | 265 3948 | 265 3949 | 265 3950 | 266 3951 | 266 3952 | 266 3953 | 266 3954 | 266 3955 | 266 3956 | 266 3957 | 266 3958 | 266 3959 | 267 3960 | 267 3961 | 267 3962 | 267 3963 | 267 3964 | 267 3965 | 267 3966 | 267 3967 | 267 3968 | 267 3969 | 267 3970 | 267 3971 | 267 3972 | 267 3973 | 267 3974 | 267 3975 | 267 3976 | 267 3977 | 268 3978 | 268 3979 | 268 3980 | 268 3981 | 268 3982 | 268 3983 | 268 3984 | 268 3985 | 268 3986 | 268 3987 | 268 3988 | 268 3989 | 268 3990 | 268 3991 | 268 3992 | 269 3993 | 269 3994 | 269 3995 | 269 3996 | 269 3997 | 270 3998 | 270 3999 | 270 4000 | 270 4001 | 271 4002 | 271 4003 | 271 4004 | 271 4005 | 271 4006 | 271 4007 | 271 4008 | 271 4009 | 271 4010 | 271 4011 | 271 4012 | 272 4013 | 272 4014 | 272 4015 | 272 4016 | 273 4017 | 273 4018 | 273 4019 | 273 4020 | 273 4021 | 273 4022 | 273 4023 | 274 4024 | 274 4025 | 274 4026 | 274 4027 | 274 4028 | 274 4029 | 274 4030 | 274 4031 | 274 4032 | 274 4033 | 274 4034 | 274 4035 | 274 4036 | 274 4037 | 274 4038 | 274 4039 | 275 4040 | 275 4041 | 275 4042 | 275 4043 | 275 4044 | 275 4045 | 275 4046 | 275 4047 | 276 4048 | 276 4049 | 276 4050 | 276 4051 | 276 4052 | 276 4053 | 276 4054 | 276 4055 | 276 4056 | 276 4057 | 276 4058 | 276 4059 | 276 4060 | 276 4061 | 276 4062 | 276 4063 | 276 4064 | 276 4065 | 276 4066 | 277 4067 | 277 4068 | 277 4069 | 277 4070 | 277 4071 | 277 4072 | 277 4073 | 277 4074 | 277 4075 | 277 4076 | 277 4077 | 277 4078 | 277 4079 | 278 4080 | 278 4081 | 278 4082 | 278 4083 | 278 4084 | 278 4085 | 278 4086 | 278 4087 | 278 4088 | 278 4089 | 278 4090 | 278 4091 | 278 4092 | 278 4093 | 278 4094 | 278 4095 | 278 4096 | 278 4097 | 278 4098 | 278 4099 | 278 4100 | 278 4101 | 278 4102 | 278 4103 | 278 4104 | 278 4105 | 279 4106 | 279 4107 | 279 4108 | 279 4109 | 279 4110 | 279 4111 | 279 4112 | 279 4113 | 279 4114 | 279 4115 | 279 4116 | 279 4117 | 279 4118 | 279 4119 | 279 4120 | 279 4121 | 279 4122 | 279 4123 | 279 4124 | 280 4125 | 280 4126 | 280 4127 | 280 4128 | 280 4129 | 280 4130 | 280 4131 | 280 4132 | 280 4133 | 280 4134 | 280 4135 | 280 4136 | 281 4137 | 281 4138 | 281 4139 | 281 4140 | 281 4141 | 281 4142 | 281 4143 | 282 4144 | 282 4145 | 282 4146 | 282 4147 | 283 4148 | 283 4149 | 283 4150 | 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293 4242 | 293 4243 | 293 4244 | 293 4245 | 293 4246 | 294 4247 | 294 4248 | 294 4249 | 294 4250 | 294 4251 | 294 4252 | 295 4253 | 295 4254 | 295 4255 | 295 4256 | 295 4257 | 295 4258 | 295 4259 | 295 4260 | 295 4261 | 295 4262 | 295 4263 | 295 4264 | 295 4265 | 295 4266 | 295 4267 | 295 4268 | 295 4269 | 295 4270 | 295 4271 | 295 4272 | 295 4273 | 295 4274 | 296 4275 | 296 4276 | 296 4277 | 296 4278 | 296 4279 | 296 4280 | 296 4281 | 296 4282 | 296 4283 | 296 4284 | 296 4285 | 296 4286 | 296 4287 | 296 4288 | 296 4289 | 296 4290 | 296 4291 | 296 4292 | 297 4293 | 297 4294 | 297 4295 | 297 4296 | 297 4297 | 297 4298 | 297 4299 | 297 4300 | 297 4301 | 297 4302 | 297 4303 | 297 4304 | 297 4305 | 297 4306 | 297 4307 | 297 4308 | 297 4309 | 298 4310 | 298 4311 | 298 4312 | 298 4313 | 298 4314 | 298 4315 | 298 4316 | 298 4317 | 298 4318 | 298 4319 | 298 4320 | 298 4321 | 299 4322 | 299 4323 | 299 4324 | 299 4325 | 299 4326 | 299 4327 | 299 4328 | 299 4329 | 299 4330 | 299 4331 | 300 4332 | 300 4333 | 300 4334 | 300 4335 | 300 4336 | 300 4337 | 300 4338 | 300 4339 | 300 4340 | 300 4341 | 300 4342 | 300 4343 | 300 4344 | 301 4345 | 301 4346 | 301 4347 | 301 4348 | 301 4349 | 301 4350 | 301 4351 | 301 4352 | 301 4353 | 301 4354 | 302 4355 | 302 4356 | 302 4357 | 302 4358 | 302 4359 | 302 4360 | 302 4361 | 302 4362 | 302 4363 | 302 4364 | 302 4365 | 302 4366 | 302 4367 | 302 4368 | 302 4369 | 302 4370 | 303 4371 | 303 4372 | 303 4373 | 303 4374 | 303 4375 | 303 4376 | 303 4377 | 303 4378 | 303 4379 | 303 4380 | 303 4381 | 303 4382 | 303 4383 | 303 4384 | 304 4385 | 304 4386 | 304 4387 | 304 4388 | 304 4389 | 304 4390 | 304 4391 | 304 4392 | 304 4393 | 305 4394 | 305 4395 | 305 4396 | 305 4397 | 305 4398 | 305 4399 | 305 4400 | 305 4401 | 305 4402 | 305 4403 | 305 4404 | 305 4405 | 305 4406 | 305 4407 | 305 4408 | 305 4409 | 306 4410 | 306 4411 | 306 4412 | 306 4413 | 306 4414 | 306 4415 | 306 4416 | 306 4417 | 306 4418 | 306 4419 | 306 4420 | 306 4421 | 306 4422 | 307 4423 | 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1938 | 5 1939 | 5 1940 | 5 1941 | 5 1942 | 5 1943 | 3 1944 | 2 1945 | 3 1946 | 2 1947 | 5 1948 | 5 1949 | 5 1950 | 5 1951 | 5 1952 | 3 1953 | 5 1954 | 5 1955 | 5 1956 | 5 1957 | 5 1958 | 5 1959 | 3 1960 | 5 1961 | 5 1962 | 5 1963 | 5 1964 | 5 1965 | 5 1966 | 5 1967 | 5 1968 | 3 1969 | 5 1970 | 5 1971 | 3 1972 | 3 1973 | 7 1974 | 2 1975 | 2 1976 | 2 1977 | 4 1978 | 2 1979 | 7 1980 | 2 1981 | 5 1982 | 5 1983 | 5 1984 | 5 1985 | 7 1986 | 1 1987 | 2 1988 | 5 1989 | 2 1990 | 5 1991 | 2 1992 | 5 1993 | 5 1994 | 5 1995 | 5 1996 | 7 1997 | 5 1998 | 5 1999 | 5 2000 | 5 2001 | 3 2002 | 5 2003 | 3 2004 | 5 2005 | 6 2006 | 3 2007 | 5 2008 | 6 2009 | 3 2010 | 5 2011 | 5 2012 | 5 2013 | 5 2014 | 5 2015 | 5 2016 | 6 2017 | 2 2018 | 5 2019 | 5 2020 | 5 2021 | 5 2022 | 5 2023 | 3 2024 | 5 2025 | 5 2026 | 5 2027 | 3 2028 | 5 2029 | 3 2030 | 5 2031 | 3 2032 | 3 2033 | 5 2034 | 3 2035 | 3 2036 | 5 2037 | 5 2038 | 5 2039 | 5 2040 | 5 2041 | 5 2042 | 3 2043 | 5 2044 | 3 2045 | 2 2046 | 2 2047 | 5 2048 | 2 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2160 | 5 2161 | 5 2162 | 2 2163 | 2 2164 | 5 2165 | 13 2166 | 13 2167 | 13 2168 | 2 2169 | 5 2170 | 5 2171 | 5 2172 | 5 2173 | 5 2174 | 5 2175 | 5 2176 | 5 2177 | 2 2178 | 5 2179 | 5 2180 | 5 2181 | 5 2182 | 5 2183 | 5 2184 | 3 2185 | 5 2186 | 3 2187 | 5 2188 | 5 2189 | 6 2190 | 5 2191 | 5 2192 | 3 2193 | 5 2194 | 5 2195 | 6 2196 | 5 2197 | 8 2198 | 5 2199 | 8 2200 | 2 2201 | 3 2202 | 2 2203 | 5 2204 | 5 2205 | 5 2206 | 5 2207 | 5 2208 | 5 2209 | 5 2210 | 5 2211 | 5 2212 | 5 2213 | 5 2214 | 5 2215 | 2 2216 | 5 2217 | 5 2218 | 5 2219 | 5 2220 | 5 2221 | 5 2222 | 3 2223 | 5 2224 | 5 2225 | 5 2226 | 5 2227 | 5 2228 | 5 2229 | 3 2230 | 3 2231 | 5 2232 | 5 2233 | 2 2234 | 5 2235 | 5 2236 | 5 2237 | 5 2238 | 5 2239 | 5 2240 | 5 2241 | 5 2242 | 7 2243 | 2 2244 | 2 2245 | 2 2246 | 4 2247 | 7 2248 | 2 2249 | 2 2250 | 2 2251 | 4 2252 | 2 2253 | 3 2254 | 2 2255 | 5 2256 | 5 2257 | 5 2258 | 5 2259 | 3 2260 | 5 2261 | 3 2262 | 5 2263 | 5 2264 | 2 2265 | 5 2266 | 5 2267 | 5 2268 | 5 2269 | 5 2270 | 5 2271 | 5 2272 | 5 2273 | 5 2274 | 2 2275 | 5 2276 | 5 2277 | 5 2278 | 5 2279 | 5 2280 | 2 2281 | 2 2282 | 5 2283 | 5 2284 | 5 2285 | 5 2286 | 5 2287 | 5 2288 | 5 2289 | 5 2290 | 5 2291 | 5 2292 | 5 2293 | 6 2294 | 5 2295 | 5 2296 | 5 2297 | 2 2298 | 5 2299 | 5 2300 | 5 2301 | 6 2302 | 5 2303 | 5 2304 | 5 2305 | 2 2306 | 3 2307 | 3 2308 | 5 2309 | 5 2310 | 5 2311 | 5 2312 | 5 2313 | 5 2314 | 5 2315 | 5 2316 | 2 2317 | 5 2318 | 5 2319 | 5 2320 | 5 2321 | 5 2322 | 5 2323 | 5 2324 | 5 2325 | 3 2326 | 3 2327 | 5 2328 | 5 2329 | 5 2330 | 5 2331 | 5 2332 | 5 2333 | 5 2334 | 3 2335 | 2 2336 | 2 2337 | 5 2338 | 5 2339 | 2 2340 | 5 2341 | 5 2342 | 5 2343 | 5 2344 | 5 2345 | 5 2346 | 5 2347 | 5 2348 | 5 2349 | 5 2350 | 5 2351 | 7 2352 | 2 2353 | 5 2354 | 5 2355 | 5 2356 | 5 2357 | 5 2358 | 5 2359 | 5 2360 | 5 2361 | 5 2362 | 5 2363 | 5 2364 | 5 2365 | 2 2366 | 5 2367 | 2 2368 | 5 2369 | 5 2370 | 2 2371 | 5 2372 | 5 2373 | 5 2374 | 5 2375 | 2 2376 | 5 2377 | 5 2378 | 2 2379 | 5 2380 | 7 2381 | 1 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2493 | 7 2494 | 2 2495 | 2 2496 | 2 2497 | 5 2498 | 5 2499 | 5 2500 | 5 2501 | 5 2502 | 5 2503 | 3 2504 | 3 2505 | 5 2506 | 5 2507 | 5 2508 | 5 2509 | 5 2510 | 5 2511 | 5 2512 | 5 2513 | 5 2514 | 5 2515 | 5 2516 | 3 2517 | 3 2518 | 5 2519 | 5 2520 | 2 2521 | 5 2522 | 5 2523 | 5 2524 | 5 2525 | 5 2526 | 5 2527 | 5 2528 | 5 2529 | 7 2530 | 2 2531 | 2 2532 | 2 2533 | 4 2534 | 7 2535 | 2 2536 | 2 2537 | 2 2538 | 4 2539 | 5 2540 | 5 2541 | 5 2542 | 5 2543 | 5 2544 | 5 2545 | 5 2546 | 5 2547 | 5 2548 | 2 2549 | 5 2550 | 5 2551 | 5 2552 | 5 2553 | 5 2554 | 5 2555 | 2 2556 | 5 2557 | 5 2558 | 5 2559 | 5 2560 | 3 2561 | 3 2562 | 5 2563 | 5 2564 | 5 2565 | 5 2566 | 5 2567 | 5 2568 | 5 2569 | 5 2570 | 5 2571 | 5 2572 | 2 2573 | 7 2574 | 2 2575 | 2 2576 | 2 2577 | 4 2578 | 5 2579 | 5 2580 | 5 2581 | 5 2582 | 5 2583 | 5 2584 | 7 2585 | 2 2586 | 2 2587 | 2 2588 | 4 2589 | 5 2590 | 5 2591 | 5 2592 | 3 2593 | 5 2594 | 5 2595 | 3 2596 | 5 2597 | 2 2598 | 5 2599 | 8 2600 | 5 2601 | 8 2602 | 5 2603 | 2 2604 | 5 2605 | 5 2606 | 3 2607 | 5 2608 | 2 2609 | 5 2610 | 5 2611 | 5 2612 | 5 2613 | 3 2614 | 2 2615 | 2 2616 | 5 2617 | 5 2618 | 5 2619 | 5 2620 | 5 2621 | 5 2622 | 3 2623 | 5 2624 | 5 2625 | 2 2626 | 3 2627 | 3 2628 | 5 2629 | 5 2630 | 5 2631 | 5 2632 | 5 2633 | 5 2634 | 5 2635 | 2 2636 | 5 2637 | 5 2638 | 5 2639 | 5 2640 | 3 2641 | 5 2642 | 2 2643 | 5 2644 | 5 2645 | 2 2646 | 5 2647 | 5 2648 | 5 2649 | 5 2650 | 5 2651 | 3 2652 | 5 2653 | 2 2654 | 5 2655 | 2 2656 | 5 2657 | 5 2658 | 5 2659 | 5 2660 | 5 2661 | 5 2662 | 5 2663 | 5 2664 | 5 2665 | 5 2666 | 5 2667 | 2 2668 | 2 2669 | 5 2670 | 5 2671 | 7 2672 | 3 2673 | 5 2674 | 3 2675 | 5 2676 | 5 2677 | 5 2678 | 5 2679 | 5 2680 | 5 2681 | 5 2682 | 5 2683 | 5 2684 | 5 2685 | 5 2686 | 5 2687 | 2 2688 | 3 2689 | 3 2690 | 5 2691 | 5 2692 | 5 2693 | 5 2694 | 5 2695 | 6 2696 | 5 2697 | 5 2698 | 7 2699 | 2 2700 | 2 2701 | 2 2702 | 14 2703 | 2 2704 | 7 2705 | 2 2706 | 2 2707 | 5 2708 | 5 2709 | 5 2710 | 6 2711 | 5 2712 | 5 2713 | 5 2714 | 5 2715 | 3 2716 | 3 2717 | 5 2718 | 5 2719 | 2 2720 | 5 2721 | 5 2722 | 5 2723 | 5 2724 | 5 2725 | 5 2726 | 5 2727 | 5 2728 | 5 2729 | 3 2730 | 5 2731 | 5 2732 | 5 2733 | 5 2734 | 3 2735 | 5 2736 | 5 2737 | 5 2738 | 5 2739 | 5 2740 | 5 2741 | 5 2742 | 5 2743 | 2 2744 | 5 2745 | 5 2746 | 5 2747 | 6 2748 | 5 2749 | 6 2750 | 5 2751 | 5 2752 | 2 2753 | 5 2754 | 5 2755 | 5 2756 | 6 2757 | 5 2758 | 6 2759 | 5 2760 | 5 2761 | 2 2762 | 3 2763 | 3 2764 | 5 2765 | 5 2766 | 2 2767 | 5 2768 | 5 2769 | 5 2770 | 5 2771 | 5 2772 | 5 2773 | 5 2774 | 5 2775 | 7 2776 | 2 2777 | 2 2778 | 2 2779 | 4 2780 | 5 2781 | 5 2782 | 5 2783 | 5 2784 | 5 2785 | 5 2786 | 7 2787 | 2 2788 | 2 2789 | 2 2790 | 4 2791 | 2 2792 | 5 2793 | 5 2794 | 5 2795 | 5 2796 | 3 2797 | 5 2798 | 5 2799 | 5 2800 | 5 2801 | 5 2802 | 5 2803 | 3 2804 | 5 2805 | 5 2806 | 5 2807 | 5 2808 | 5 2809 | 5 2810 | 5 2811 | 5 2812 | 5 2813 | 2 2814 | 5 2815 | 2 2816 | 5 2817 | 5 2818 | 5 2819 | 5 2820 | 5 2821 | 5 2822 | 2 2823 | 5 2824 | 2 2825 | 4 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4824 | 6 4825 | 5 4826 | 5 4827 | 5 4828 | 5 4829 | 5 4830 | 5 4831 | 5 4832 | 5 4833 | 5 4834 | 5 4835 | 5 4836 | 5 4837 | 5 4838 | 5 4839 | 5 4840 | 5 4841 | 5 4842 | 5 4843 | 5 4844 | 5 4845 | 5 4846 | 5 4847 | 5 4848 | 5 4849 | 5 4850 | 3 4851 | 5 4852 | 5 4853 | 5 4854 | 3 4855 | 3 4856 | 2 4857 | 2 4858 | 5 4859 | 5 4860 | 5 4861 | 5 4862 | 5 4863 | 5 4864 | 5 4865 | 5 4866 | 5 4867 | 5 4868 | 3 4869 | 5 4870 | 5 4871 | 3 4872 | 3 4873 | 5 4874 | 5 4875 | 5 4876 | 5 4877 | 5 4878 | 7 4879 | 7 4880 | 7 4881 | 5 4882 | 7 4883 | 3 4884 | 5 4885 | 5 4886 | 5 4887 | 5 4888 | 5 4889 | 5 4890 | 5 4891 | 5 4892 | 6 4893 | 5 4894 | 5 4895 | 5 4896 | 3 4897 | 3 4898 | 3 4899 | 2 4900 | 5 4901 | 5 4902 | 5 4903 | 5 4904 | 5 4905 | 5 4906 | 5 4907 | 5 4908 | 5 4909 | 5 4910 | 5 4911 | 5 4912 | 3 4913 | 5 4914 | 3 4915 | 17 4916 | -------------------------------------------------------------------------------- /DATASETS/PTC_MR/README.txt: -------------------------------------------------------------------------------- 1 | README for dataset PTC_MR 2 | 3 | 4 | === Usage === 5 | 6 | This folder contains the following comma separated text files 7 | (replace DS by the name of the dataset): 8 | 9 | n = total number of nodes 10 | m = total number of edges 11 | N = number of graphs 12 | 13 | (1) DS_A.txt (m lines) 14 | sparse (block diagonal) adjacency matrix for all graphs, 15 | each line corresponds to (row, col) resp. (node_id, node_id) 16 | 17 | (2) DS_graph_indicator.txt (n lines) 18 | column vector of graph identifiers for all nodes of all graphs, 19 | the value in the i-th line is the graph_id of the node with node_id i 20 | 21 | (3) DS_graph_labels.txt (N lines) 22 | class labels for all graphs in the dataset, 23 | the value in the i-th line is the class label of the graph with graph_id i 24 | 25 | (4) DS_node_labels.txt (n lines) 26 | column vector of node labels, 27 | the value in the i-th line corresponds to the node with node_id i 28 | 29 | There are OPTIONAL files if the respective information is available: 30 | 31 | (5) DS_edge_labels.txt (m lines; same size as DS_A_sparse.txt) 32 | labels for the edges in DS_A_sparse.txt 33 | 34 | (6) DS_edge_attributes.txt (m lines; same size as DS_A.txt) 35 | attributes for the edges in DS_A.txt 36 | 37 | (7) DS_node_attributes.txt (n lines) 38 | matrix of node attributes, 39 | the comma seperated values in the i-th line is the attribute vector of the node with node_id i 40 | 41 | (8) DS_graph_attributes.txt (N lines) 42 | regression values for all graphs in the dataset, 43 | the value in the i-th line is the attribute of the graph with graph_id i 44 | 45 | 46 | === Description of the dataset === 47 | 48 | The PTC dataset contains compounds labeled according to carcinogenicity 49 | on rodents divided into male mice (MM), male rats (MR), female mice (FM) 50 | and female rats (FR). 51 | 52 | The chemical data was obtained form http://www.predictive-toxicology.org/ptc/ 53 | and converted to graphs, where vertices represent atoms and edges 54 | represent chemical bonds. Explicit hydrogen atoms have been removed and 55 | vertices are labeled by atom type and edges by bond type (single, double, 56 | triple or aromatic). Chemical data was processed using the Chemistry 57 | Development Kit (v1.4). 58 | 59 | Node labels: 60 | 61 | 0 In 62 | 1 P 63 | 2 O 64 | 3 N 65 | 4 Na 66 | 5 C 67 | 6 Cl 68 | 7 S 69 | 8 Br 70 | 9 F 71 | 10 K 72 | 11 Cu 73 | 12 Zn 74 | 13 I 75 | 14 Ba 76 | 15 Sn 77 | 16 Pb 78 | 17 Ca 79 | 80 | Edge labels: 81 | 82 | 0 triple 83 | 1 double 84 | 2 single 85 | 3 aromatic 86 | 87 | 88 | === Previous Use of the Dataset === 89 | 90 | Kriege, N., Mutzel, P.: Subgraph matching kernels for attributed graphs. In: Proceedings 91 | of the 29th International Conference on Machine Learning (ICML-2012) (2012). 92 | -------------------------------------------------------------------------------- /DATASETS/README.md: -------------------------------------------------------------------------------- 1 | A single dataset is archived in the DATASETS file, others can be found here: https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets 2 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # A simple baseline algorithm for graph classification 2 | 3 | This repository proposes an implementation of the work developped and presented in: https://arxiv.org/abs/1810.09155 4 | 5 | This work was presented at the NIPS 2018 workshop session [Relational Representation Learning](https://r2learning.github.io/). 6 | 7 | Theoretical explanation of the good behavior of this simple baseline is presented in a preprint paper [Using Laplacian Spectrum as Graph Feature Representation](https://arxiv.org/abs/1912.00735), whose code is [here](https://github.com/edouardpineau/Using-Laplacian-Spectrum-as-Graph-Feature-Representation). 8 | 9 | ### Abstract 10 | 11 | Graph classification has recently received a lot of attention from various fields of machine learning e.g. kernel methods, sequential modeling or graph embedding. All these approaches offer promising results with different respective strengths and weaknesses. However, most of them rely on complex mathematics and require heavy computational power to achieve their best performance. We propose a simple and fast algorithm based on the spectral decomposition of graph Laplacian to perform graph classification and get a first reference score for a dataset. We show that this method obtains competitive results compared to state-of-the-art algorithms. 12 | 13 | ### Method 14 | 15 |

16 |

Figure 1: Schematic view of our model. L denotes the normalized Laplacian of the graph, c the predicted class.

17 | 18 | ### Results 19 | 20 |

21 |

Table 1: Experimental accuracy (%) of different models plus ours over standard molecular datasets.

22 | 23 | ### 24 | 25 | As we can see, SF + RFC provides the best results for all datasets except DD. Our intuition to explain these good results is that the decision tree classifier, which is at the core of RFC, is an algorithm based on level thresholding. Our paper uses [1] to say that the spectral features represent a sequence of energy levels. With this intuition, being above or below a certain level is thus likely to be meaningful for classification. 26 | 27 | ### Additional results 28 | 29 |

30 |

Table 2: Accuracy (%) of different classifiers combined to the spectral features embedding.

31 | 32 | ### 33 | 34 | Several experiments has been done with adidtional classifiers: random forest classifier (RFC), k-nearest neighbors classifier (k-NNC), 2-layers perceptron with Relu non-linearity (MLP), support vector machine with *one versus one* classification (SVM) and ridge regression classifier (RRC). 35 | 36 | ### 37 | 38 |

39 |

Table 3: Accuracy (%) of RF combined to the spectral features embedding of different dimensions.

40 | 41 | ### Citing 42 | 43 | @article{de2018simple, 44 | title={A simple baseline algorithm for graph classification}, 45 | author={de Lara, Nathan and Pineau, Edouard}, 46 | journal={Relational Representation Learning Workshop, NIPS 2018}, 47 | year={2018} 48 | } 49 | 50 | ### 51 | 52 | [1] Thomas Bonald, Alexandre Hollocou, and Marc Lelarge. Weighted spectral embedding of graphs. arXiv preprint arXiv:1809.11115, 2018. 53 | 54 | A single dataset is archived in the DATASETS file, others can be found here: https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets 55 | -------------------------------------------------------------------------------- /images/README.md: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /images/additional_results.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/edouardpineau/A-simple-baseline-algorithm-for-graph-classification/ec260889962c3d05c1dff741791469c25f09bc8d/images/additional_results.png -------------------------------------------------------------------------------- /images/k_dependence.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/edouardpineau/A-simple-baseline-algorithm-for-graph-classification/ec260889962c3d05c1dff741791469c25f09bc8d/images/k_dependence.png -------------------------------------------------------------------------------- /images/method_schema.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/edouardpineau/A-simple-baseline-algorithm-for-graph-classification/ec260889962c3d05c1dff741791469c25f09bc8d/images/method_schema.png -------------------------------------------------------------------------------- /images/results.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/edouardpineau/A-simple-baseline-algorithm-for-graph-classification/ec260889962c3d05c1dff741791469c25f09bc8d/images/results.png --------------------------------------------------------------------------------