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notebooks/graphbolt/walkthrough.ipynb

@@ -9,7 +9,7 @@
       ],
       "gpuType": "T4",
       "private_outputs": true,
-      "authorship_tag": "ABX9TyMhsESic1tNnxZpg1cZng0U"
+      "authorship_tag": "ABX9TyPvfttw1smlh4C4S7WfGkTB"
     },
     "kernelspec": {
       "name": "python3",
@@ -48,8 +48,7 @@
         "os.environ['TORCH'] = torch.__version__\n",
         "os.environ['DGLBACKEND'] = \"pytorch\"\n",
         "\n",
-        "# Uncomment following commands to download Pytorch and DGL\n",
-        "# !pip install --pre dgl -f https://data.dgl.ai/wheels-test/cu118/repo.html > /dev/null\n",
+        "!pip install --pre dgl -f https://data.dgl.ai/wheels-test/cu118/repo.html > /dev/null\n",
         "\n",
         "try:\n",
         "    import dgl.graphbolt as gb\n",
@@ -121,7 +120,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "* The FeatureStore is used to store node, edge, and graph features. In graphbolt, we provide the TorchBasedFeature and related optimizations, such as the GPUCachedFeature, for different use cases."
+        "* The **FeatureStore** is used to store node, edge, and graph features. In graphbolt, we provide the TorchBasedFeature and related optimizations, such as the GPUCachedFeature, for different use cases."
       ],
       "metadata": {
         "id": "mNp2S2_Vs8af"