Fix node embedding plots after rescaled PageRank

Author: JohT

jupyter/NodeEmbeddingsJava.ipynb

@@ -45,6 +45,37 @@
     "- [Complete guide to understanding Node2Vec algorithm](https://towardsdatascience.com/complete-guide-to-understanding-node2vec-algorithm-4e9a35e5d147)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "43204131",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%html\n",
+    "<style>\n",
+    "/* CSS style for smaller dataframe tables. */\n",
+    ".dataframe th {\n",
+    "    font-size: 8px;\n",
+    "}\n",
+    ".dataframe td {\n",
+    "    font-size: 8px;\n",
+    "}\n",
+    "</style>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b23a5047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Main Colormap\n",
+    "# main_color_map = 'nipy_spectral'\n",
+    "main_color_map = 'viridis'"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -65,7 +96,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f8ef41ff",
+   "id": "286cc436",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -273,14 +304,14 @@
    "outputs": [],
    "source": [
     "def plot_2d_node_embeddings(node_embeddings_for_visualization: pd.DataFrame, title: str):\n",
-    "    if embeddings.empty:\n",
+    "    if node_embeddings_for_visualization.empty:\n",
     "        print(\"No projected data to plot available\")\n",
     "        return\n",
     "\n",
     "    plot.scatter(\n",
     "        x=node_embeddings_for_visualization.x,\n",
     "        y=node_embeddings_for_visualization.y,\n",
-    "        s=node_embeddings_for_visualization.centrality * 300,\n",
+    "        s=node_embeddings_for_visualization.centrality * 60,\n",
     "        c=node_embeddings_for_visualization.communityId,\n",
     "        cmap=main_color_map,\n",
     "    )\n",
@@ -494,7 +525,7 @@
    "pygments_lexer": "ipython3",
    "version": "3.12.9"
   },
-  "title": "Object Oriented Design Quality Metrics for Java with Neo4j"
+  "title": "Node Embeddings for Java with Neo4j"
  },
  "nbformat": 4,
  "nbformat_minor": 5

jupyter/NodeEmbeddingsTypescript.ipynb

@@ -48,6 +48,37 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "15777c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%html\n",
+    "<style>\n",
+    "/* CSS style for smaller dataframe tables. */\n",
+    ".dataframe th {\n",
+    "    font-size: 8px;\n",
+    "}\n",
+    ".dataframe td {\n",
+    "    font-size: 8px;\n",
+    "}\n",
+    "</style>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b650672",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Main Colormap\n",
+    "# main_color_map = 'nipy_spectral'\n",
+    "main_color_map = 'viridis'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
    "id": "4191f259",
    "metadata": {},
    "outputs": [],
@@ -273,14 +304,14 @@
    "outputs": [],
    "source": [
     "def plot_2d_node_embeddings(node_embeddings_for_visualization: pd.DataFrame, title: str):\n",
-    "    if embeddings.empty:\n",
+    "    if node_embeddings_for_visualization.empty:\n",
     "        print(\"No projected data to plot available\")\n",
     "        return\n",
     "\n",
     "    plot.scatter(\n",
     "        x=node_embeddings_for_visualization.x,\n",
     "        y=node_embeddings_for_visualization.y,\n",
-    "        s=node_embeddings_for_visualization.centrality * 300,\n",
+    "        s=node_embeddings_for_visualization.centrality * 60,\n",
     "        c=node_embeddings_for_visualization.communityId,\n",
     "        cmap=main_color_map,\n",
     "    )\n",
@@ -497,7 +528,7 @@
    "pygments_lexer": "ipython3",
    "version": "3.12.9"
   },
-  "title": "Object Oriented Design Quality Metrics for Java with Neo4j"
+  "title": "Node Embeddings for Typescript with Neo4j"
  },
  "nbformat": 4,
  "nbformat_minor": 5