Add CLI Notebook examples in the doc (#1087)

*Issue #, if available:*

*Description of changes:*


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---------

Co-authored-by: Xiang Song <[email protected]>

docs/source/cli/notebooks/Notebook_4_MT_CLI.ipynb → docs/source/cli/notebooks/Notebook_CLI_MT.ipynb

@@ -37,8 +37,7 @@
    "id": "a0c7764a",
    "metadata": {},
    "source": [
-    "### 0. Setup environment\n",
-    "----\n",
+    "## 0. Setup environment\n",
     "First let's install GraphStorm and its dependencies, PyTorch and DGL."
    ]
   },
@@ -63,8 +62,7 @@
    "id": "76f8f9c9",
    "metadata": {},
    "source": [
-    "### 1. Create the example ACM graph data\n",
-    "---\n",
+    "## 1. Create the example ACM graph data\n",
     "This notebook uses the ACM graph as an example. We use the following script to create the ACM graph data."
    ]
   },
@@ -103,8 +101,7 @@
    "id": "ee3ca793",
    "metadata": {},
    "source": [
-    "### 2. Construct and Partition ACM Graph\n",
-    "---\n",
+    "## 2. Construct and Partition ACM Graph\n",
     "Since GraphStorm is designed naturally for distributed GNN training, we need to construct a graph and split it into multiple partitions. In this example, for simplicity, we create a graph with one partition (no actual splitting)."
    ]
   },
@@ -135,9 +132,7 @@
    "id": "5735fdf1",
    "metadata": {},
    "source": [
-    "### 3. GNN Model Training \n",
-    "---\n",
-    "\n",
+    "## 3. GNN Model Training \n",
     "Once the graph constucted, we can call the GraphStorm multi-task learning CLI to run model training. Before kicking off the model training, we need to create a YAML configuration file for the CLI."
    ]
   },
@@ -219,9 +214,7 @@
    "id": "8b1ca0af",
    "metadata": {},
    "source": [
-    "### 4. GNN Model Inference \n",
-    "---\n",
-    "\n",
+    "## 4. GNN Model Inference \n",
     "Once the model is trained, we can do model inference with the trained model artifacts by using the GraphStorm multi-task learning CLI. We can use the same YAML configuration file for model inference."
    ]
   },

docs/source/cli/notebooks/index.rst

@@ -0,0 +1,28 @@
+.. _cli-examples:
+
+GraphStorm CLI Examples
+========================
+
+GraphStorm provides Command Line Interfaces (CLIs) for graph data
+preparation and GML model training and inference. To help users to
+quickly onboard GraphStorm CLIs, we provide a set of Jupyter
+notebooks as examples.
+
+.. note:: All runnable Jupyter notebooks can be downloaded from the `GraphStorm Github repository <https://github.com/awslabs/graphstorm/tree/main/docs/source/cli/notebooks>`_.
+
+These notebooks all use the same ACM data as discussed in
+the :ref:`User Your Own Data Tutorial<use-own-data>`.
+Users can follow the `Notebook 0: Data Preparation <https://github.com/awslabs/graphstorm/blob/main/docs/source/api/notebooks/Notebook_0_Data_Prepare.ipynb>`_
+to explore the details of ACM data preparation.
+
+The `CLI Notebook: Use GraphStorm CLI for Multi-task Learning <https://github.com/awslabs/graphstorm/blob/main/docs/source/cli/notebooks/Notebook_CLI_MT.ipynb>`_ provides
+an example that demonstrates how to run multi-task GNN model
+training and inference with GraphStorm CLIs. The training
+tasks include link prediction and node feature reconstruction.
+
+.. toctree::
+  :maxdepth: 2
+  :titlesonly:
+
+  Notebook_CLI_MT
+

docs/source/index.rst

@@ -21,6 +21,7 @@ Welcome to the GraphStorm Documentation and Tutorials
 
    cli/graph-construction/index.rst
    cli/model-training-inference/index.rst
+   cli/notebooks/index.rst
 
 .. toctree::
    :maxdepth: 2