Add examples

examples/DistinguishingNonRegularGraphs.ipynb

@@ -340,14 +340,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Graph a is predicted to be class: 1 | 0.9564615488052368\n",
-      "Graph b is predicted to be class: 0 | 0.04621277377009392\n"
+      "Graph Bicyclopentyl is predicted to be class: 1 | 0.9578434228897095\n",
+      "Graph Decalin is predicted to be class: 0 | 0.04274271801114082\n"
      ]
     }
    ],
@@ -357,7 +357,7 @@
     "for _ in neuralogic_evaluator.train(train_dataset):\n",
     "    pass\n",
     "\n",
-    "graphs = [\"a\", \"b\"]\n",
+    "graphs = [\"Bicyclopentyl\", \"Decalin\"]\n",
     "\n",
     "for graph_id, (label, predicted) in enumerate(neuralogic_evaluator.test(train_dataset)):\n",
     "    print(f\"Graph {graphs[graph_id]} is predicted to be class: {int(round(predicted))} | {predicted}\")\n"