Add notebook illustrating usage of new GNN stuff

Author: Mats-SX

examples/python-runtime.ipynb

@@ -0,0 +1,83 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "DBID = \"beefbeef\"\n",
+    "ENVIRONMENT = \"\"\n",
+    "PASSWORD = \"\"\n",
+    "\n",
+    "from graphdatascience import GraphDataScience\n",
+    "\n",
+    "gds = GraphDataScience(\n",
+    "    f\"neo4j+s://{DBID}-{ENVIRONMENT}.databases.neo4j-dev.io/\", auth=(\"neo4j\", PASSWORD)\n",
+    ")\n",
+    "gds.set_database(\"neo4j\")\n",
+    "\n",
+    "gds.gnn.nodeClassification.train(\"cora\", \"model\", [\"features\"], \"subject\", node_labels=[\"Paper\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "try:\n",
+    "    gds.graph.load_cora()\n",
+    "except:\n",
+    "    pass\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "gds.gnn.nodeClassification.train(\"cora\", \"model\", [\"features\"], \"subject\", node_labels=[\"Paper\"])\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "gds.gnn.nodeClassification.predict(\"cora\", \"model\", [\"features\"], \"subject\", node_labels=[\"Paper\"])"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}