01_1_Data_Handling_PyGeometric.ipynb

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      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    },
    "colab": {
      "name": "01.1: Data_Handling_PyGeometric.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gulabpatel/Graph_Neural_Network/blob/main/01.1%3A%20Data_Handling_PyGeometric.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FSCIvXYwCzK1"
      },
      "source": [
        "Video walkthrough the code : https://www.youtube.com/watch?v=Vz5bT8Xw6Dc\n",
        "\n",
        "Study material : https://antoniolonga.github.io/Pytorch_geometric_tutorials/"
      ],
      "id": "FSCIvXYwCzK1"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-MdktH6-PS_x"
      },
      "source": [
        "# Install required packages.\n",
        "!pip install -q torch-scatter -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html\n",
        "!pip install -q torch-sparse -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html\n",
        "!pip install -q torch-geometric"
      ],
      "id": "-MdktH6-PS_x",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cc66e304"
      },
      "source": [
        "import numpy as np\n",
        "import torch\n",
        "import torch_geometric.datasets as datasets\n",
        "import torch_geometric.data as data\n",
        "import torch_geometric.transforms as transforms\n",
        "import networkx as nx\n",
        "from torch_geometric.utils.convert import to_networkx"
      ],
      "id": "cc66e304",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0988dfe9"
      },
      "source": [
        "## Data Handling in PyG"
      ],
      "id": "0988dfe9"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bb172800"
      },
      "source": [
        "### Data"
      ],
      "id": "bb172800"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d4174013"
      },
      "source": [
        "Let's create a dummy graph"
      ],
      "id": "d4174013"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9dfb4ad2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d50b2b8c-5b27-438f-861a-7f669a1e76c1"
      },
      "source": [
        "embeddings = torch.rand((100, 16), dtype=torch.float)\n",
        "embeddings"
      ],
      "id": "9dfb4ad2",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[0.7164, 0.5717, 0.5573,  ..., 0.9746, 0.6614, 0.1257],\n",
              "        [0.8107, 0.7000, 0.8942,  ..., 0.2740, 0.6668, 0.3369],\n",
              "        [0.1989, 0.3543, 0.9281,  ..., 0.5350, 0.5927, 0.7393],\n",
              "        ...,\n",
              "        [0.6772, 0.7521, 0.9974,  ..., 0.2159, 0.1848, 0.2425],\n",
              "        [0.1782, 0.3699, 0.4818,  ..., 0.5892, 0.7048, 0.2142],\n",
              "        [0.5355, 0.4125, 0.2074,  ..., 0.5320, 0.8348, 0.3541]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "91504905",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cde4f4f6-f92a-49c5-f6de-e5ca9e9dd469"
      },
      "source": [
        "rows = np.random.choice(100, 500)\n",
        "#print(rows.size)\n",
        "cols = np.random.choice(100, 500)\n",
        "#print(cols)\n",
        "edges = torch.tensor([rows, cols])\n",
        "print(edges)"
      ],
      "id": "91504905",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "tensor([[62, 60, 25, 99,  5, 70, 47, 24, 24, 76, 33, 92, 25, 15, 45, 12, 80, 67,\n",
            "          1, 89, 76, 24,  7, 48, 34, 39, 52, 42, 26, 39, 12, 90, 87, 96, 88, 84,\n",
            "         46,  9, 35, 63, 79, 16, 65, 34, 14, 11, 17,  3, 70, 20, 98, 37, 65, 85,\n",
            "         15, 15, 97, 56, 70, 12, 33, 14, 35, 52, 36, 23,  0,  3, 48, 56, 69, 32,\n",
            "         32, 25, 54, 73, 83, 90,  9, 33, 25, 72, 37, 16, 57, 24,  9, 46, 31, 44,\n",
            "         55, 26, 33, 88, 75, 48, 54, 47, 41, 69, 78, 52,  1, 52, 57, 26, 83, 18,\n",
            "         61, 12, 32, 40, 31, 39, 83, 51, 32, 65, 94, 73,  4, 93, 87, 66,  2,  8,\n",
            "         98, 87, 58, 25, 46, 10, 98, 45, 71, 77,  0, 91, 89, 37, 26, 79, 44, 81,\n",
            "         75, 59, 97, 44, 41, 98, 37, 53, 39, 89, 19, 92, 42, 28,  6, 58, 84, 28,\n",
            "         51, 76, 78,  3, 95, 94,  9, 43, 17, 68, 43, 14, 39, 99, 99, 67, 96,  3,\n",
            "         26, 60, 20,  4,  9, 20, 15, 90, 73, 65, 21, 23, 10, 21, 33, 58, 23, 82,\n",
            "         89, 39, 94, 40, 51, 67, 38, 73, 78, 58, 17, 59, 66, 74,  6, 38, 12, 46,\n",
            "         88,  3, 51, 97, 18, 71, 59, 47, 48, 25, 43, 39, 87, 53, 62,  2, 74, 45,\n",
            "         28, 12, 37,  0, 99, 59, 87,  7, 24, 31, 90, 50, 45, 46, 62, 87, 57,  6,\n",
            "         68,  8, 41,  8, 88, 60, 78, 68, 82, 19, 69, 34, 24, 48, 90, 39, 99, 56,\n",
            "         79, 64, 13,  9, 27, 26, 75,  6, 11, 75, 36, 38, 82, 63, 30,  7, 91, 46,\n",
            "         72, 67, 64,  7, 81, 83, 32, 15, 92, 49, 71, 18, 54, 53,  5, 10, 21, 38,\n",
            "         35, 76, 29,  0, 57, 68, 87,  5, 28, 33, 32, 18, 99, 48, 87, 21, 26, 69,\n",
            "          3, 10, 30, 82, 52, 24,  8, 44, 97, 91, 61, 89,  4, 67,  2, 52, 35, 85,\n",
            "         51, 72, 42, 67, 51, 83, 94, 74,  7, 42, 73, 31, 25, 85, 72, 36, 40, 65,\n",
            "         38,  3, 25, 96, 65, 48, 65, 69, 51, 57, 73,  5, 68, 24, 72, 54, 63,  5,\n",
            "         57, 66,  4, 19, 35, 25, 31, 56, 22, 88, 75, 33, 21, 60, 49, 50, 87, 71,\n",
            "         26,  8, 30, 35, 18, 11, 38, 41, 94, 92, 54, 26, 46, 64,  8, 62, 12,  1,\n",
            "         59, 93, 20, 89, 65, 75, 94, 33, 64, 83, 62, 27, 35, 44, 88, 80, 17, 82,\n",
            "         88,  8, 63, 57, 87,  7, 85, 79, 77, 19, 55, 55, 94, 45,  4, 57, 68, 10,\n",
            "         90, 36, 40,  6, 76, 71, 79, 34, 73, 10, 53, 22, 56, 93,  4, 84, 76, 84,\n",
            "          8, 75, 41, 26, 64, 78, 95, 90, 18, 26,  8,  6, 19, 31,  9,  7, 62, 95,\n",
            "         64,  6, 62, 46,  7, 27, 82, 95, 36, 17, 10, 18, 53, 40],\n",
            "        [12, 10, 46, 49, 80,  5, 86, 96, 27, 44, 97, 25, 37, 54, 77, 82, 60, 25,\n",
            "         98, 18,  0, 73, 16, 22, 10, 92, 45, 14, 38, 62, 71,  1, 54, 90, 46, 66,\n",
            "         27, 28,  0, 47, 47, 79, 75, 15, 21, 46, 93, 31,  0, 28, 61, 95, 79,  9,\n",
            "         91,  2, 20, 79, 61, 43, 80, 21, 26, 75, 88, 51, 64,  2, 31,  4, 55, 43,\n",
            "          2, 68, 71, 34, 36, 29, 73, 97, 37, 43,  1,  4, 56, 37, 68,  5, 78, 34,\n",
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            "          8, 83,  0, 11, 84, 77, 33, 46, 29, 75, 58, 50, 74, 63, 79, 12, 62, 46,\n",
            "         25, 17, 86, 62, 27, 36, 84, 75, 34, 72, 82, 30,  9, 34, 18, 12,  3, 39,\n",
            "         43, 71, 21,  8, 59, 45, 98, 65, 16, 15, 82, 23, 54, 62, 65, 99, 25, 27,\n",
            "         84, 82, 56, 89, 26, 16, 69, 65, 21, 28,  0,  1, 66, 94, 87, 93, 23, 24,\n",
            "         33, 50, 79, 12, 68, 35, 51, 16, 61,  0, 37, 55, 70, 47, 21, 18, 56, 86,\n",
            "          2, 94, 33, 70, 94, 72, 57, 32, 92, 51, 37, 27, 78, 88, 98, 61, 25, 24,\n",
            "          0,  9, 90, 87, 40, 95,  2, 17, 48,  5, 99, 32, 20, 22, 88,  4, 72, 59,\n",
            "         55,  9, 66, 86, 74,  1, 58, 81, 18, 16, 80, 46, 87, 16, 86, 99, 55, 17,\n",
            "         27, 47, 16, 40, 11, 86, 39, 53, 22, 45,  8, 13, 60, 47, 91, 12, 87, 30,\n",
            "         51, 10, 83, 19, 43, 43, 78, 31, 19, 30, 63, 34,  7, 58, 46, 73, 94, 71,\n",
            "         61, 93, 99, 87, 31, 59, 11,  0,  5,  6, 47, 54, 65, 91, 75, 86, 71, 62,\n",
            "         10, 28,  8, 75, 31, 62,  6, 71, 88, 41,  0, 31, 64,  7, 22, 55, 80, 85,\n",
            "          1, 11, 83,  8,  7, 89, 60,  2, 19, 24, 42, 69, 46, 33,  1, 95, 64, 36,\n",
            "         68, 29, 36, 72, 80, 98, 11, 51, 16, 23, 13, 18, 75, 39, 62, 54, 79,  1,\n",
            "         13,  6, 37, 23, 48, 11, 81, 82, 70, 81, 65, 93, 50, 25, 54, 95, 44, 71,\n",
            "         95, 85, 14, 78, 40, 12, 51, 47, 83, 92, 66, 15, 95,  5, 88,  7, 58, 63,\n",
            "         41, 51, 86,  2, 44, 22, 81, 75, 65, 57, 71, 24, 89, 40, 22, 59,  7, 60,\n",
            "         55, 91, 44, 95, 95, 43, 33, 98,  5, 34, 53, 29, 46, 79, 43, 44, 30, 42,\n",
            "         13, 25, 63,  4, 91, 26, 26, 62, 77, 83,  6, 13, 81, 95, 68, 29, 56,  3,\n",
            "         62, 18, 20, 94, 84, 59, 54, 77,  2, 19, 27, 12, 75, 16, 57, 51, 36, 23,\n",
            "         75,  3, 47, 82, 15, 79, 11, 82, 76, 15, 38,  3, 75, 88, 77, 54, 20, 98,\n",
            "         76, 10, 39, 71, 31, 21, 97, 86, 86, 30, 26, 78, 61,  8]])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "32745396",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "00b70824-1260-4dee-bc4a-cb840d304352"
      },
      "source": [
        "edges_attr = np.random.choice(3,500)\n",
        "edges_attr"
      ],
      "id": "32745396",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 0, 2, 0, 1, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       1, 1, 1, 1, 1, 2, 1, 1, 0, 2, 1, 0, 0, 0, 2, 2, 2, 2, 0, 0, 2, 1,\n",
              "       0, 1, 0, 2, 2, 0, 1, 2, 1, 0, 2, 1, 0, 2, 0, 2, 2, 0, 2, 0, 1, 0,\n",
              "       1, 1, 0, 2, 2, 1, 1, 0, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 0, 0, 2, 0,\n",
              "       0, 1, 2, 0, 1, 1, 0, 2, 2, 0, 1, 1, 0, 0, 0, 2, 1, 2, 0, 0, 1, 0,\n",
              "       2, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 0, 2, 1, 0, 0, 0, 0, 2, 1, 1, 1,\n",
              "       1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 2, 1, 1, 2, 1, 2, 1,\n",
              "       2, 2, 2, 0, 1, 1, 1, 1, 0, 0, 1, 0, 2, 2, 1, 2, 1, 2, 2, 1, 0, 2,\n",
              "       1, 2, 2, 1, 1, 1, 0, 1, 1, 2, 2, 0, 1, 2, 1, 2, 1, 1, 0, 2, 0, 0,\n",
              "       1, 2, 0, 2, 0, 2, 0, 1, 1, 0, 2, 1, 2, 1, 0, 0, 0, 2, 1, 2, 2, 2,\n",
              "       0, 1, 0, 2, 2, 2, 0, 2, 1, 0, 2, 1, 1, 2, 0, 2, 0, 0, 2, 0, 0, 2,\n",
              "       2, 2, 0, 0, 1, 2, 0, 0, 1, 0, 2, 2, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0,\n",
              "       2, 2, 1, 2, 0, 1, 0, 1, 0, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 0,\n",
              "       0, 2, 2, 1, 2, 0, 0, 2, 0, 2, 1, 1, 0, 1, 2, 0, 1, 0, 1, 0, 0, 1,\n",
              "       2, 1, 2, 1, 1, 1, 2, 1, 0, 2, 2, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 2,\n",
              "       1, 2, 0, 0, 2, 1, 0, 0, 2, 2, 2, 1, 1, 1, 0, 2, 0, 1, 1, 2, 0, 1,\n",
              "       2, 2, 1, 2, 0, 1, 0, 0, 2, 2, 0, 2, 0, 2, 1, 2, 2, 0, 2, 2, 0, 1,\n",
              "       2, 1, 2, 1, 2, 1, 2, 1, 0, 1, 1, 0, 1, 2, 1, 1, 2, 0, 0, 0, 0, 0,\n",
              "       0, 0, 2, 1, 0, 2, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 2, 2, 0, 2, 1, 0,\n",
              "       0, 0, 1, 1, 0, 1, 1, 2, 1, 2, 0, 0, 1, 0, 0, 0, 1, 2, 1, 2, 2, 1,\n",
              "       2, 1, 0, 1, 1, 0, 2, 1, 0, 2, 2, 1, 2, 0, 2, 0, 1, 1, 1, 2, 2, 2,\n",
              "       2, 1, 0, 2, 2, 0, 2, 1, 1, 1, 1, 0, 0, 2, 2, 2, 2, 2, 1, 0, 0, 2,\n",
              "       1, 0, 2, 1, 2, 1, 1, 2, 0, 1, 1, 2, 1, 1, 1, 2])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e93f687b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "80733a50-253d-4865-ebf3-cd4681bcf8ef"
      },
      "source": [
        "ys = torch.rand((100)).round().long()\n",
        "ys"
      ],
      "id": "e93f687b",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0,\n",
              "        1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1,\n",
              "        0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0,\n",
              "        0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n",
              "        1, 1, 1, 1])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "630500ee"
      },
      "source": [
        "Convert the graph information into a PyG Data object"
      ],
      "id": "630500ee"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5fd37207"
      },
      "source": [
        "graph = data.Data(x=embeddings, edge_index=edges, edge_attr=edges_attr, y=ys)"
      ],
      "id": "5fd37207",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "29db56f3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "76ac0eb9-b843-4fce-f19b-23de82e14400"
      },
      "source": [
        "graph"
      ],
      "id": "29db56f3",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Data(edge_attr=[1 1 2 2 1 1 1 2 1 2 0 2 0 1 2 2 2 2 2 2 2 2 1 1 1 1 1 2 1 1 0 2 1 0 0 0 2\n",
              " 2 2 2 0 0 2 1 0 1 0 2 2 0 1 2 1 0 2 1 0 2 0 2 2 0 2 0 1 0 1 1 0 2 2 1 1 0\n",
              " 1 2 1 2 2 1 2 2 2 2 0 0 2 0 0 1 2 0 1 1 0 2 2 0 1 1 0 0 0 2 1 2 0 0 1 0 2\n",
              " 1 0 1 1 1 0 1 1 1 2 0 2 1 0 0 0 0 2 1 1 1 1 0 1 1 0 0 1 0 0 0 0 1 0 0 2 2\n",
              " 1 1 2 1 2 1 2 2 2 0 1 1 1 1 0 0 1 0 2 2 1 2 1 2 2 1 0 2 1 2 2 1 1 1 0 1 1\n",
              " 2 2 0 1 2 1 2 1 1 0 2 0 0 1 2 0 2 0 2 0 1 1 0 2 1 2 1 0 0 0 2 1 2 2 2 0 1\n",
              " 0 2 2 2 0 2 1 0 2 1 1 2 0 2 0 0 2 0 0 2 2 2 0 0 1 2 0 0 1 0 2 2 0 1 1 0 0\n",
              " 0 0 2 1 0 2 2 1 2 0 1 0 1 0 2 2 2 2 1 2 1 2 2 2 2 2 0 0 2 2 1 2 0 0 2 0 2\n",
              " 1 1 0 1 2 0 1 0 1 0 0 1 2 1 2 1 1 1 2 1 0 2 2 0 1 0 0 0 0 1 2 1 1 2 1 2 0\n",
              " 0 2 1 0 0 2 2 2 1 1 1 0 2 0 1 1 2 0 1 2 2 1 2 0 1 0 0 2 2 0 2 0 2 1 2 2 0\n",
              " 2 2 0 1 2 1 2 1 2 1 2 1 0 1 1 0 1 2 1 1 2 0 0 0 0 0 0 0 2 1 0 2 1 1 0 1 0\n",
              " 2 0 1 1 1 2 2 0 2 1 0 0 0 1 1 0 1 1 2 1 2 0 0 1 0 0 0 1 2 1 2 2 1 2 1 0 1\n",
              " 1 0 2 1 0 2 2 1 2 0 2 0 1 1 1 2 2 2 2 1 0 2 2 0 2 1 1 1 1 0 0 2 2 2 2 2 1\n",
              " 0 0 2 1 0 2 1 2 1 1 2 0 1 1 2 1 1 1 2], edge_index=[2, 500], x=[100, 16], y=[100])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "962eb73d"
      },
      "source": [
        "Let's visualize the information contained in the data object"
      ],
      "id": "962eb73d"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2432fe8d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8de96a7f-e0ce-4e93-eb9c-1de232a9d2ab"
      },
      "source": [
        "for prop in graph:\n",
        "    print(prop)"
      ],
      "id": "2432fe8d",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "('edge_attr', array([1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 0, 2, 0, 1, 2, 2, 2, 2, 2, 2, 2, 2,\n",
            "       1, 1, 1, 1, 1, 2, 1, 1, 0, 2, 1, 0, 0, 0, 2, 2, 2, 2, 0, 0, 2, 1,\n",
            "       0, 1, 0, 2, 2, 0, 1, 2, 1, 0, 2, 1, 0, 2, 0, 2, 2, 0, 2, 0, 1, 0,\n",
            "       1, 1, 0, 2, 2, 1, 1, 0, 1, 2, 1, 2, 2, 1, 2, 2, 2, 2, 0, 0, 2, 0,\n",
            "       0, 1, 2, 0, 1, 1, 0, 2, 2, 0, 1, 1, 0, 0, 0, 2, 1, 2, 0, 0, 1, 0,\n",
            "       2, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 0, 2, 1, 0, 0, 0, 0, 2, 1, 1, 1,\n",
            "       1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 2, 2, 1, 1, 2, 1, 2, 1,\n",
            "       2, 2, 2, 0, 1, 1, 1, 1, 0, 0, 1, 0, 2, 2, 1, 2, 1, 2, 2, 1, 0, 2,\n",
            "       1, 2, 2, 1, 1, 1, 0, 1, 1, 2, 2, 0, 1, 2, 1, 2, 1, 1, 0, 2, 0, 0,\n",
            "       1, 2, 0, 2, 0, 2, 0, 1, 1, 0, 2, 1, 2, 1, 0, 0, 0, 2, 1, 2, 2, 2,\n",
            "       0, 1, 0, 2, 2, 2, 0, 2, 1, 0, 2, 1, 1, 2, 0, 2, 0, 0, 2, 0, 0, 2,\n",
            "       2, 2, 0, 0, 1, 2, 0, 0, 1, 0, 2, 2, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0,\n",
            "       2, 2, 1, 2, 0, 1, 0, 1, 0, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 0,\n",
            "       0, 2, 2, 1, 2, 0, 0, 2, 0, 2, 1, 1, 0, 1, 2, 0, 1, 0, 1, 0, 0, 1,\n",
            "       2, 1, 2, 1, 1, 1, 2, 1, 0, 2, 2, 0, 1, 0, 0, 0, 0, 1, 2, 1, 1, 2,\n",
            "       1, 2, 0, 0, 2, 1, 0, 0, 2, 2, 2, 1, 1, 1, 0, 2, 0, 1, 1, 2, 0, 1,\n",
            "       2, 2, 1, 2, 0, 1, 0, 0, 2, 2, 0, 2, 0, 2, 1, 2, 2, 0, 2, 2, 0, 1,\n",
            "       2, 1, 2, 1, 2, 1, 2, 1, 0, 1, 1, 0, 1, 2, 1, 1, 2, 0, 0, 0, 0, 0,\n",
            "       0, 0, 2, 1, 0, 2, 1, 1, 0, 1, 0, 2, 0, 1, 1, 1, 2, 2, 0, 2, 1, 0,\n",
            "       0, 0, 1, 1, 0, 1, 1, 2, 1, 2, 0, 0, 1, 0, 0, 0, 1, 2, 1, 2, 2, 1,\n",
            "       2, 1, 0, 1, 1, 0, 2, 1, 0, 2, 2, 1, 2, 0, 2, 0, 1, 1, 1, 2, 2, 2,\n",
            "       2, 1, 0, 2, 2, 0, 2, 1, 1, 1, 1, 0, 0, 2, 2, 2, 2, 2, 1, 0, 0, 2,\n",
            "       1, 0, 2, 1, 2, 1, 1, 2, 0, 1, 1, 2, 1, 1, 1, 2]))\n",
            "('edge_index', tensor([[62, 60, 25, 99,  5, 70, 47, 24, 24, 76, 33, 92, 25, 15, 45, 12, 80, 67,\n",
            "          1, 89, 76, 24,  7, 48, 34, 39, 52, 42, 26, 39, 12, 90, 87, 96, 88, 84,\n",
            "         46,  9, 35, 63, 79, 16, 65, 34, 14, 11, 17,  3, 70, 20, 98, 37, 65, 85,\n",
            "         15, 15, 97, 56, 70, 12, 33, 14, 35, 52, 36, 23,  0,  3, 48, 56, 69, 32,\n",
            "         32, 25, 54, 73, 83, 90,  9, 33, 25, 72, 37, 16, 57, 24,  9, 46, 31, 44,\n",
            "         55, 26, 33, 88, 75, 48, 54, 47, 41, 69, 78, 52,  1, 52, 57, 26, 83, 18,\n",
            "         61, 12, 32, 40, 31, 39, 83, 51, 32, 65, 94, 73,  4, 93, 87, 66,  2,  8,\n",
            "         98, 87, 58, 25, 46, 10, 98, 45, 71, 77,  0, 91, 89, 37, 26, 79, 44, 81,\n",
            "         75, 59, 97, 44, 41, 98, 37, 53, 39, 89, 19, 92, 42, 28,  6, 58, 84, 28,\n",
            "         51, 76, 78,  3, 95, 94,  9, 43, 17, 68, 43, 14, 39, 99, 99, 67, 96,  3,\n",
            "         26, 60, 20,  4,  9, 20, 15, 90, 73, 65, 21, 23, 10, 21, 33, 58, 23, 82,\n",
            "         89, 39, 94, 40, 51, 67, 38, 73, 78, 58, 17, 59, 66, 74,  6, 38, 12, 46,\n",
            "         88,  3, 51, 97, 18, 71, 59, 47, 48, 25, 43, 39, 87, 53, 62,  2, 74, 45,\n",
            "         28, 12, 37,  0, 99, 59, 87,  7, 24, 31, 90, 50, 45, 46, 62, 87, 57,  6,\n",
            "         68,  8, 41,  8, 88, 60, 78, 68, 82, 19, 69, 34, 24, 48, 90, 39, 99, 56,\n",
            "         79, 64, 13,  9, 27, 26, 75,  6, 11, 75, 36, 38, 82, 63, 30,  7, 91, 46,\n",
            "         72, 67, 64,  7, 81, 83, 32, 15, 92, 49, 71, 18, 54, 53,  5, 10, 21, 38,\n",
            "         35, 76, 29,  0, 57, 68, 87,  5, 28, 33, 32, 18, 99, 48, 87, 21, 26, 69,\n",
            "          3, 10, 30, 82, 52, 24,  8, 44, 97, 91, 61, 89,  4, 67,  2, 52, 35, 85,\n",
            "         51, 72, 42, 67, 51, 83, 94, 74,  7, 42, 73, 31, 25, 85, 72, 36, 40, 65,\n",
            "         38,  3, 25, 96, 65, 48, 65, 69, 51, 57, 73,  5, 68, 24, 72, 54, 63,  5,\n",
            "         57, 66,  4, 19, 35, 25, 31, 56, 22, 88, 75, 33, 21, 60, 49, 50, 87, 71,\n",
            "         26,  8, 30, 35, 18, 11, 38, 41, 94, 92, 54, 26, 46, 64,  8, 62, 12,  1,\n",
            "         59, 93, 20, 89, 65, 75, 94, 33, 64, 83, 62, 27, 35, 44, 88, 80, 17, 82,\n",
            "         88,  8, 63, 57, 87,  7, 85, 79, 77, 19, 55, 55, 94, 45,  4, 57, 68, 10,\n",
            "         90, 36, 40,  6, 76, 71, 79, 34, 73, 10, 53, 22, 56, 93,  4, 84, 76, 84,\n",
            "          8, 75, 41, 26, 64, 78, 95, 90, 18, 26,  8,  6, 19, 31,  9,  7, 62, 95,\n",
            "         64,  6, 62, 46,  7, 27, 82, 95, 36, 17, 10, 18, 53, 40],\n",
            "        [12, 10, 46, 49, 80,  5, 86, 96, 27, 44, 97, 25, 37, 54, 77, 82, 60, 25,\n",
            "         98, 18,  0, 73, 16, 22, 10, 92, 45, 14, 38, 62, 71,  1, 54, 90, 46, 66,\n",
            "         27, 28,  0, 47, 47, 79, 75, 15, 21, 46, 93, 31,  0, 28, 61, 95, 79,  9,\n",
            "         91,  2, 20, 79, 61, 43, 80, 21, 26, 75, 88, 51, 64,  2, 31,  4, 55, 43,\n",
            "          2, 68, 71, 34, 36, 29, 73, 97, 37, 43,  1,  4, 56, 37, 68,  5, 78, 34,\n",
            "         98, 88, 72, 40, 55, 86, 46, 28, 45, 67,  1, 41, 79, 17, 21, 99, 87, 64,\n",
            "          8, 83,  0, 11, 84, 77, 33, 46, 29, 75, 58, 50, 74, 63, 79, 12, 62, 46,\n",
            "         25, 17, 86, 62, 27, 36, 84, 75, 34, 72, 82, 30,  9, 34, 18, 12,  3, 39,\n",
            "         43, 71, 21,  8, 59, 45, 98, 65, 16, 15, 82, 23, 54, 62, 65, 99, 25, 27,\n",
            "         84, 82, 56, 89, 26, 16, 69, 65, 21, 28,  0,  1, 66, 94, 87, 93, 23, 24,\n",
            "         33, 50, 79, 12, 68, 35, 51, 16, 61,  0, 37, 55, 70, 47, 21, 18, 56, 86,\n",
            "          2, 94, 33, 70, 94, 72, 57, 32, 92, 51, 37, 27, 78, 88, 98, 61, 25, 24,\n",
            "          0,  9, 90, 87, 40, 95,  2, 17, 48,  5, 99, 32, 20, 22, 88,  4, 72, 59,\n",
            "         55,  9, 66, 86, 74,  1, 58, 81, 18, 16, 80, 46, 87, 16, 86, 99, 55, 17,\n",
            "         27, 47, 16, 40, 11, 86, 39, 53, 22, 45,  8, 13, 60, 47, 91, 12, 87, 30,\n",
            "         51, 10, 83, 19, 43, 43, 78, 31, 19, 30, 63, 34,  7, 58, 46, 73, 94, 71,\n",
            "         61, 93, 99, 87, 31, 59, 11,  0,  5,  6, 47, 54, 65, 91, 75, 86, 71, 62,\n",
            "         10, 28,  8, 75, 31, 62,  6, 71, 88, 41,  0, 31, 64,  7, 22, 55, 80, 85,\n",
            "          1, 11, 83,  8,  7, 89, 60,  2, 19, 24, 42, 69, 46, 33,  1, 95, 64, 36,\n",
            "         68, 29, 36, 72, 80, 98, 11, 51, 16, 23, 13, 18, 75, 39, 62, 54, 79,  1,\n",
            "         13,  6, 37, 23, 48, 11, 81, 82, 70, 81, 65, 93, 50, 25, 54, 95, 44, 71,\n",
            "         95, 85, 14, 78, 40, 12, 51, 47, 83, 92, 66, 15, 95,  5, 88,  7, 58, 63,\n",
            "         41, 51, 86,  2, 44, 22, 81, 75, 65, 57, 71, 24, 89, 40, 22, 59,  7, 60,\n",
            "         55, 91, 44, 95, 95, 43, 33, 98,  5, 34, 53, 29, 46, 79, 43, 44, 30, 42,\n",
            "         13, 25, 63,  4, 91, 26, 26, 62, 77, 83,  6, 13, 81, 95, 68, 29, 56,  3,\n",
            "         62, 18, 20, 94, 84, 59, 54, 77,  2, 19, 27, 12, 75, 16, 57, 51, 36, 23,\n",
            "         75,  3, 47, 82, 15, 79, 11, 82, 76, 15, 38,  3, 75, 88, 77, 54, 20, 98,\n",
            "         76, 10, 39, 71, 31, 21, 97, 86, 86, 30, 26, 78, 61,  8]]))\n",
            "('x', tensor([[0.7164, 0.5717, 0.5573,  ..., 0.9746, 0.6614, 0.1257],\n",
            "        [0.8107, 0.7000, 0.8942,  ..., 0.2740, 0.6668, 0.3369],\n",
            "        [0.1989, 0.3543, 0.9281,  ..., 0.5350, 0.5927, 0.7393],\n",
            "        ...,\n",
            "        [0.6772, 0.7521, 0.9974,  ..., 0.2159, 0.1848, 0.2425],\n",
            "        [0.1782, 0.3699, 0.4818,  ..., 0.5892, 0.7048, 0.2142],\n",
            "        [0.5355, 0.4125, 0.2074,  ..., 0.5320, 0.8348, 0.3541]]))\n",
            "('y', tensor([0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0,\n",
            "        1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1,\n",
            "        0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0,\n",
            "        0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n",
            "        1, 1, 1, 1]))\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e9247e40",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 967
        },
        "outputId": "7a806f22-5609-41a3-9049-ead841c060d4"
      },
      "source": [
        "vis = to_networkx(graph)\n",
        "\n",
        "node_labels = graph.y.numpy()\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "plt.figure(1,figsize=(15,13)) \n",
        "nx.draw(vis, cmap=plt.get_cmap('Set3'),node_color = node_labels,node_size=70,linewidths=6)\n",
        "plt.show()"
      ],
      "id": "e9247e40",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x936 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b97d3bb9"
      },
      "source": [
        "### Batch"
      ],
      "id": "b97d3bb9"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bbf6ec37"
      },
      "source": [
        "With the Batch object we can represent multiple graphs as a single disconnected graph"
      ],
      "id": "bbf6ec37"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "58fa1065"
      },
      "source": [
        "graph2 = graph"
      ],
      "id": "58fa1065",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "40db7e01"
      },
      "source": [
        "batch = data.Batch().from_data_list([graph, graph2])"
      ],
      "id": "40db7e01",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "83ff8398",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8c34ff17-a61d-4d2f-9473-cc2bf448156d"
      },
      "source": [
        "print(\"Number of graphs:\",batch.num_graphs)\n",
        "print(\"Graph at index 1:\",batch[1])\n",
        "print(\"Retrieve the list of graphs:\\n\",len(batch.to_data_list()))"
      ],
      "id": "83ff8398",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of graphs: 2\n",
            "Graph at index 1: Data(edge_attr=[1 1 2 2 1 1 1 2 1 2 0 2 0 1 2 2 2 2 2 2 2 2 1 1 1 1 1 2 1 1 0 2 1 0 0 0 2\n",
            " 2 2 2 0 0 2 1 0 1 0 2 2 0 1 2 1 0 2 1 0 2 0 2 2 0 2 0 1 0 1 1 0 2 2 1 1 0\n",
            " 1 2 1 2 2 1 2 2 2 2 0 0 2 0 0 1 2 0 1 1 0 2 2 0 1 1 0 0 0 2 1 2 0 0 1 0 2\n",
            " 1 0 1 1 1 0 1 1 1 2 0 2 1 0 0 0 0 2 1 1 1 1 0 1 1 0 0 1 0 0 0 0 1 0 0 2 2\n",
            " 1 1 2 1 2 1 2 2 2 0 1 1 1 1 0 0 1 0 2 2 1 2 1 2 2 1 0 2 1 2 2 1 1 1 0 1 1\n",
            " 2 2 0 1 2 1 2 1 1 0 2 0 0 1 2 0 2 0 2 0 1 1 0 2 1 2 1 0 0 0 2 1 2 2 2 0 1\n",
            " 0 2 2 2 0 2 1 0 2 1 1 2 0 2 0 0 2 0 0 2 2 2 0 0 1 2 0 0 1 0 2 2 0 1 1 0 0\n",
            " 0 0 2 1 0 2 2 1 2 0 1 0 1 0 2 2 2 2 1 2 1 2 2 2 2 2 0 0 2 2 1 2 0 0 2 0 2\n",
            " 1 1 0 1 2 0 1 0 1 0 0 1 2 1 2 1 1 1 2 1 0 2 2 0 1 0 0 0 0 1 2 1 1 2 1 2 0\n",
            " 0 2 1 0 0 2 2 2 1 1 1 0 2 0 1 1 2 0 1 2 2 1 2 0 1 0 0 2 2 0 2 0 2 1 2 2 0\n",
            " 2 2 0 1 2 1 2 1 2 1 2 1 0 1 1 0 1 2 1 1 2 0 0 0 0 0 0 0 2 1 0 2 1 1 0 1 0\n",
            " 2 0 1 1 1 2 2 0 2 1 0 0 0 1 1 0 1 1 2 1 2 0 0 1 0 0 0 1 2 1 2 2 1 2 1 0 1\n",
            " 1 0 2 1 0 2 2 1 2 0 2 0 1 1 1 2 2 2 2 1 0 2 2 0 2 1 1 1 1 0 0 2 2 2 2 2 1\n",
            " 0 0 2 1 0 2 1 2 1 1 2 0 1 1 2 1 1 1 2], edge_index=[2, 500], x=[100, 16], y=[100])\n",
            "Retrieve the list of graphs:\n",
            " 2\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "32b8802a"
      },
      "source": [
        "### Cluster"
      ],
      "id": "32b8802a"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ecb19f44"
      },
      "source": [
        "ClusterData groups the nodes of a graph into a specific number of cluster for faster computation in large graphs, then use ClusterLoader to load batches of clusters"
      ],
      "id": "ecb19f44"
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "ef08ddca"
      },
      "source": [
        "# cluster = data.ClusterData(graph, 5)\n",
        "# cluster"
      ],
      "id": "ef08ddca",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f54ec4eb"
      },
      "source": [
        "# clusterloader = data.ClusterLoader(cluster)\n",
        "# clusterloader"
      ],
      "id": "f54ec4eb",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8e3a37f3"
      },
      "source": [
        "### Sampler"
      ],
      "id": "8e3a37f3"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "65bcfadc"
      },
      "source": [
        "For each convolutional layer, sample a maximum of nodes from each neighborhood (as in GraphSAGE)"
      ],
      "id": "65bcfadc"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0bc1e1e2"
      },
      "source": [
        "sampler = data.NeighborSampler(graph.edge_index, sizes=[3,10], batch_size=4,\n",
        "                                  shuffle=False)"
      ],
      "id": "0bc1e1e2",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ot0zoQy27bIH",
        "outputId": "6a85f070-90c9-485a-cca3-a4eecf458cb7"
      },
      "source": [
        "sampler"
      ],
      "id": "ot0zoQy27bIH",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NeighborSampler(sizes=[3, 10])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "c19950de",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c47bc7ff-b97c-41a7-c07a-5040f3731a8f"
      },
      "source": [
        "for s in sampler:\n",
        "    print(s)\n",
        "    #break"
      ],
      "id": "c19950de",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(4, tensor([ 0,  1,  2,  3, 65, 76, 15, 59, 14, 89, 32, 75,  6, 10, 88, 70, 35, 43,\n",
            "        90, 78, 37, 73, 44, 94, 54, 53, 64, 18, 34, 26, 33, 83, 71, 62, 41, 45,\n",
            "        42,  4, 46, 24, 39, 56, 52,  8, 19, 25, 87, 55, 49, 60]), [EdgeIndex(edge_index=tensor([[ 4,  5,  6, 10, 10, 14, 15, 16, 17,  2,  3,  4,  7,  8, 18, 19, 20,  3,\n",
            "          6,  7,  9, 10, 16, 21, 22, 11, 12, 13, 22, 12, 17, 21, 23, 24, 25, 26,\n",
            "         27,  9, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37,  3, 38, 39, 21, 40,\n",
            "          0,  4,  4, 34, 35, 41, 42, 43, 44, 45,  3, 46, 47, 48, 12, 16, 26, 28,\n",
            "         49],\n",
            "        [ 0,  0,  0,  0,  0,  0,  0,  0,  0,  1,  1,  1,  1,  1,  1,  1,  1,  2,\n",
            "          2,  2,  2,  2,  2,  2,  2,  3,  3,  3,  3,  4,  4,  4,  4,  4,  4,  5,\n",
            "          5,  6,  6,  6,  6,  6,  7,  7,  7,  7,  7,  8,  8,  9,  9,  9, 10, 10,\n",
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            "(4, tensor([12, 13, 14, 15, 22, 25, 62, 73, 38, 34, 42,  4, 26, 64, 79, 39, 66, 88,\n",
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            "(4, tensor([32, 33, 34, 35, 73, 39, 94, 67, 26, 38, 71, 20, 83, 44, 37, 24,  7,  9,\n",
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            "         55, 56],\n",
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            "         10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12,\n",
            "         12, 12]]), e_id=tensor([486, 476, 440, 482, 113,  14, 457, 497, 276, 381, 210,  88, 473,  41,\n",
            "        102, 122,  52, 182, 358, 427,  57, 107, 318, 340,  66, 353,  19, 195,\n",
            "        451, 242, 140, 138,  53, 217, 235, 258, 355, 143, 488, 133, 117,  42,\n",
            "        462, 309,  63, 468, 302, 354, 403, 273, 332, 278, 459, 174, 388,  35,\n",
            "        236, 152, 243, 254, 167, 463, 187,  22, 350, 247, 100, 359, 324,  82,\n",
            "         31, 338, 173, 239]), size=(53, 13)), EdgeIndex(edge_index=tensor([[ 4,  5,  1,  6,  7,  8,  9, 10,  2, 11, 12],\n",
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            "(4, tensor([80, 81, 82, 83, 33,  5, 51, 94,  7, 65, 26,  0, 69, 22, 12, 19, 90, 57,\n",
            "        38, 76, 30, 13, 67, 92, 70, 64, 60, 25, 46, 84, 79, 15,  8, 23, 31, 58,\n",
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            "        [ 0,  0,  0,  0,  0,  1,  1,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  3,\n",
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            "          9,  9,  9, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12,\n",
            "         12, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15]]), e_id=tensor([ 60,   4, 346, 322, 244, 444, 241, 366, 369, 402, 471, 136, 367,  15,\n",
            "        154, 475, 163, 386, 109, 441, 326, 272, 114, 420, 200, 180, 337, 296,\n",
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            "(4, tensor([84, 85, 86, 87, 98, 31, 51, 69, 66, 47, 30, 60, 99, 45, 97, 76, 95, 62,\n",
            "        10,  0, 36, 48, 58, 83,  7,  6,  1, 33, 37, 55, 81,  3, 18, 57, 79, 15,\n",
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            "        43, 52, 19, 82]), [EdgeIndex(edge_index=tensor([[ 4,  5,  6, 15,  7,  8,  9, 10, 11, 16, 17, 18, 19, 20, 21, 22, 12, 12,\n",
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            "          0,  5, 22, 34, 35, 36, 37, 38, 39, 40,  0, 28, 41, 42, 21, 34, 36, 43,\n",
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            "          6,  6,  6,  6,  6,  6,  6,  6,  7,  7,  8,  8,  8,  8,  9,  9,  9,  9,\n",
            "          9,  9,  9,  9, 10, 10, 10, 10, 10, 11, 11, 11, 11, 12, 12, 12, 12, 12,\n",
            "         13, 13, 13, 13, 14, 14, 14]]), e_id=tensor([132, 112, 162, 454, 323, 379,   6, 398, 257, 493, 248, 303, 237, 494,\n",
            "         95, 128, 268, 176, 246, 219, 106, 291, 485, 347, 212,  18, 421, 150,\n",
            "         90,  68, 490, 277, 292,  47, 317, 310, 465, 384, 207, 270, 186, 397,\n",
            "         65, 349, 335, 168,  35, 236, 388, 174, 265,  40, 253, 298, 193, 470,\n",
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            "        105, 226, 149,  98,  26, 261,  79,  10, 492]), size=(58, 15)), EdgeIndex(edge_index=tensor([[ 4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14],\n",
            "        [ 0,  0,  0,  1,  1,  2,  2,  2,  3,  3,  3]]), e_id=tensor([132, 112, 162, 323, 379,   6, 398, 257, 176, 246, 219]), size=(15, 4))])\n",
            "(4, tensor([88, 89, 90, 91, 26, 31, 49, 46,  3, 24, 96, 51, 93, 15, 87, 74, 28, 36,\n",
            "        62, 53, 95, 85, 35,  7, 10, 81,  6, 18, 48, 57, 99, 54, 50,  8,  4, 11,\n",
            "        25, 30, 75, 44, 84, 79, 23, 58, 67,  5, 17, 64, 34, 33, 97, 83, 45]), [EdgeIndex(edge_index=tensor([[ 4,  5,  6, 15, 16, 17, 18,  7,  8,  9, 10, 11,  2, 12, 13, 14, 19, 20,\n",
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            "         34, 35, 36, 37, 24, 26, 38, 39,  3,  4,  7,  8,  9,  5, 13, 15, 33, 40,\n",
            "         41, 42, 43, 44, 44, 45, 46,  1,  4, 47, 48, 49, 23, 30, 30, 50, 51, 52],\n",
            "        [ 0,  0,  0,  0,  0,  0,  0,  1,  1,  1,  2,  2,  3,  3,  3,  3,  3,  4,\n",
            "          4,  4,  4,  4,  5,  5,  5,  5,  5,  5,  5,  6,  7,  7,  7,  7,  7,  7,\n",
            "          7,  7,  7,  7,  8,  8,  8,  8,  9,  9,  9,  9, 10, 11, 11, 11, 11, 11,\n",
            "         11, 11, 11, 12, 12, 12, 12, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14]]), e_id=tensor([ 91, 481, 392, 211, 314,  64, 230, 408, 165, 329,  33, 218, 266, 415,\n",
            "         54, 436, 301, 166, 438,  62, 437, 496,  47, 490, 292, 277, 317,  68,\n",
            "        310,   3,  34, 115, 426,  96, 245, 125, 336,  45,   2, 284, 449, 479,\n",
            "        469, 142, 333, 407, 215, 179,   7, 384, 186, 349, 397, 465, 270,  65,\n",
            "        207, 289, 177, 371,  46, 153, 477, 472,  43, 389, 291, 268, 176, 219,\n",
            "        106, 246]), size=(53, 15)), EdgeIndex(edge_index=tensor([[ 4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14],\n",
            "        [ 0,  0,  0,  1,  1,  1,  2,  2,  3,  3,  3]]), e_id=tensor([ 91, 481, 392, 408, 165, 329,  33, 218, 415,  54, 436]), size=(15, 4))])\n",
            "(4, tensor([92, 93, 94, 95, 88, 39, 78, 17,  5, 67, 91,  6, 54, 21, 71, 99, 51, 89,\n",
            "        65, 37, 45, 52, 57, 74, 28, 26, 31, 36, 49, 62, 85, 81, 75, 66, 18, 19,\n",
            "        87, 47, 70, 64, 60, 25, 46, 69, 90, 15, 53, 55,  3, 79,  7, 42, 72, 97,\n",
            "        14, 27, 33, 59, 12]), [EdgeIndex(edge_index=tensor([[ 4,  5,  6,  7,  8,  9,  9,  5, 10, 11, 15, 16, 12, 13, 14, 17, 18, 19,\n",
            "         20, 21, 22, 23, 24, 25, 26, 27, 28, 29,  6, 29, 30, 31, 26, 32, 33, 34,\n",
            "         35, 11, 21, 36, 37,  0, 38, 39, 40, 41, 42, 43,  1, 36, 44, 45, 46, 28,\n",
            "         36, 47, 48, 27, 34, 36, 45, 49, 50, 51, 52,  7, 22, 53, 54, 54, 55, 56,\n",
            "          8,  8, 12, 12, 13, 42, 42, 57, 58],\n",
            "        [ 0,  0,  0,  1,  1,  1,  1,  2,  2,  2,  2,  2,  3,  3,  3,  3,  3,  3,\n",
            "          3,  3,  3,  4,  4,  4,  4,  4,  4,  4,  5,  5,  5,  5,  6,  6,  6,  6,\n",
            "          6,  7,  7,  7,  7,  8,  8,  8,  8,  8,  8,  9, 10, 10, 10, 10, 10, 11,\n",
            "         11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13,\n",
            "         14, 14, 14, 14, 14, 14, 14, 14, 14]]), e_id=tensor([387,  25, 206,  46, 371, 289, 177, 199, 286, 453, 175, 202, 375, 390,\n",
            "        221, 417, 418,  51, 445, 339, 378, 211, 314,  91, 481,  64, 392, 230,\n",
            "        258, 488, 355, 143,  88, 276, 210, 497, 381, 251, 103, 127, 223, 296,\n",
            "          5, 422, 391, 225,  87,  99, 415, 436, 266,  54, 301, 297, 312, 442,\n",
            "        361, 357, 299,  32,  13, 456, 483, 156, 374, 170, 104, 146,  44,  61,\n",
            "        491, 194, 377, 313,  74, 406, 304, 489, 287, 145,  30]), size=(59, 15)), EdgeIndex(edge_index=tensor([[ 4,  5,  6,  7,  8,  9,  5, 10, 11, 12, 13, 14],\n",
            "        [ 0,  0,  0,  1,  1,  1,  2,  2,  2,  3,  3,  3]]), e_id=tensor([387,  25, 206,  46, 371, 177, 199, 286, 453, 375, 390, 221]), size=(15, 4))])\n",
            "(4, tensor([96, 97, 98, 99, 24, 82, 33, 37,  1, 87, 43, 58, 95,  6, 55, 83, 64, 26,\n",
            "        91, 46,  3, 90, 12,  0, 19, 69, 76, 94, 67, 25, 17, 21, 78,  2, 14, 59,\n",
            "        65,  7, 45, 88, 75, 27, 32, 72, 63]), [EdgeIndex(edge_index=tensor([[ 4,  5,  6,  6,  6,  7,  8, 12, 13, 14, 15,  9, 10, 11, 16, 17, 17, 18,\n",
            "         19, 20, 17, 21, 22, 23, 24, 25, 26, 15, 17, 27, 27, 28,  4, 29, 29, 29,\n",
            "         30, 31,  7, 20, 21, 32, 33, 34, 35, 36,  1,  3,  3, 15, 37, 38, 17, 22,\n",
            "         39, 40, 40, 41, 42, 43,  9,  9, 27, 44],\n",
            "        [ 0,  1,  1,  1,  2,  2,  2,  2,  2,  2,  2,  3,  3,  3,  3,  3,  4,  4,\n",
            "          4,  4,  5,  5,  5,  5,  5,  5,  5,  6,  6,  6,  6,  6,  7,  7,  7,  7,\n",
            "          7,  7,  8,  8,  8,  8,  8,  8,  8,  8,  9,  9,  9,  9,  9,  9, 10, 10,\n",
            "         10, 10, 10, 10, 10, 10, 11, 11, 11, 11]]), e_id=tensor([  7, 492,  79,  10, 421, 150,  18, 485, 212,  90, 347, 249, 226, 159,\n",
            "        290, 105, 407, 333, 215, 179, 471, 475,  15, 136, 154, 367, 163, 114,\n",
            "        180, 420, 200, 337,  85,  12, 362,  80, 208, 190,  82, 324,  31, 100,\n",
            "        338, 173, 239, 359, 219, 268, 176, 106, 291, 246, 275,  59, 428, 419,\n",
            "        144, 274,  71,  81, 240, 394, 118, 283]), size=(45, 12)), EdgeIndex(edge_index=tensor([[ 4,  5,  6,  6,  6,  7,  8,  9, 10, 11],\n",
            "        [ 0,  1,  1,  1,  2,  2,  2,  3,  3,  3]]), e_id=tensor([  7, 492,  79,  10, 421, 150,  18, 249, 226, 159]), size=(12, 4))])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ae79d471",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2e74da89-4551-4e46-dcc4-34cdf29c475c"
      },
      "source": [
        "print(\"Batch size:\", s[0])\n",
        "print(\"Number of unique nodes involved in the sampling:\",len(s[1]))\n",
        "print(\"Number of neighbors sampled:\", len(s[2][0].edge_index[0]), len(s[2][1].edge_index[0]))"
      ],
      "id": "ae79d471",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Batch size: 4\n",
            "Number of unique nodes involved in the sampling: 45\n",
            "Number of neighbors sampled: 64 10\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "af5f7ea9"
      },
      "source": [
        "### Datasets"
      ],
      "id": "af5f7ea9"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7353ce32"
      },
      "source": [
        "List all the available datasets"
      ],
      "id": "7353ce32"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3116f834",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ade93447-8401-4dc8-9348-3ae39ab08d0f"
      },
      "source": [
        "datasets.__all__"
      ],
      "id": "3116f834",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['KarateClub',\n",
              " 'TUDataset',\n",
              " 'GNNBenchmarkDataset',\n",
              " 'Planetoid',\n",
              " 'NELL',\n",
              " 'CitationFull',\n",
              " 'CoraFull',\n",
              " 'Coauthor',\n",
              " 'Amazon',\n",
              " 'PPI',\n",
              " 'Reddit',\n",
              " 'Reddit2',\n",
              " 'Flickr',\n",
              " 'Yelp',\n",
              " 'AmazonProducts',\n",
              " 'QM7b',\n",
              " 'QM9',\n",
              " 'ZINC',\n",
              " 'MoleculeNet',\n",
              " 'Entities',\n",
              " 'GEDDataset',\n",
              " 'MNISTSuperpixels',\n",
              " 'FAUST',\n",
              " 'DynamicFAUST',\n",
              " 'ShapeNet',\n",
              " 'ModelNet',\n",
              " 'CoMA',\n",
              " 'SHREC2016',\n",
              " 'TOSCA',\n",
              " 'PCPNetDataset',\n",
              " 'S3DIS',\n",
              " 'GeometricShapes',\n",
              " 'BitcoinOTC',\n",
              " 'ICEWS18',\n",
              " 'GDELT',\n",
              " 'DBP15K',\n",
              " 'WILLOWObjectClass',\n",
              " 'PascalVOCKeypoints',\n",
              " 'PascalPF',\n",
              " 'SNAPDataset',\n",
              " 'SuiteSparseMatrixCollection',\n",
              " 'TrackMLParticleTrackingDataset',\n",
              " 'AMiner',\n",
              " 'WordNet18',\n",
              " 'WordNet18RR',\n",
              " 'WikiCS',\n",
              " 'WebKB',\n",
              " 'WikipediaNetwork',\n",
              " 'Actor',\n",
              " 'JODIEDataset',\n",
              " 'MixHopSyntheticDataset',\n",
              " 'UPFD',\n",
              " 'GitHub',\n",
              " 'FacebookPagePage',\n",
              " 'LastFMAsia',\n",
              " 'DeezerEurope',\n",
              " 'GemsecDeezer',\n",
              " 'Twitch']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c16b6d08",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f3475120-b6fe-405b-c05f-044cbca5a702"
      },
      "source": [
        "name = 'Cora'\n",
        "transform = transforms.Compose([\n",
        "    transforms.AddTrainValTestMask('train_rest', num_val=500, num_test=500),\n",
        "    transforms.TargetIndegree(),\n",
        "])\n",
        "cora = datasets.Planetoid('./data', name, pre_transform=transforms.NormalizeFeatures(), transform=transform)"
      ],
      "id": "c16b6d08",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.x\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.tx\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.allx\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.y\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.ty\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.ally\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.graph\n",
            "Downloading https://github.com/kimiyoung/planetoid/raw/master/data/ind.cora.test.index\n",
            "Processing...\n",
            "Done!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ed125ea6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ddd7c851-2df3-4f52-efda-7784e8082388"
      },
      "source": [
        "aids = datasets.TUDataset(root=\"./data\", name=\"AIDS\")"
      ],
      "id": "ed125ea6",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading https://www.chrsmrrs.com/graphkerneldatasets/AIDS.zip\n",
            "Extracting data/AIDS/AIDS.zip\n",
            "Processing...\n",
            "Done!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d435cff7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8c5905ad-b627-4e41-9725-9f97d1e1b0c7"
      },
      "source": [
        "print(\"AIDS info:\")\n",
        "print('# of graphs:', len(aids))\n",
        "print('# Classes (graphs)', aids.num_classes)\n",
        "print('# Edge features', aids.num_edge_features)\n",
        "print('# Edge labels', aids.num_edge_labels)\n",
        "print('# Node features', aids.num_node_features)"
      ],
      "id": "d435cff7",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "AIDS info:\n",
            "# of graphs: 2000\n",
            "# Classes (graphs) 2\n",
            "# Edge features 3\n",
            "# Edge labels 3\n",
            "# Node features 38\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3aee1614",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d610fbab-ed6a-441b-a56a-207db5794510"
      },
      "source": [
        "print(\"Cora info:\")\n",
        "print('# of graphs:', len(cora))\n",
        "print('# Classes (nodes)', cora.num_classes)\n",
        "print('# Edge features', cora.num_edge_features)\n",
        "print('# Node features', cora.num_node_features)"
      ],
      "id": "3aee1614",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cora info:\n",
            "# of graphs: 1\n",
            "# Classes (nodes) 7\n",
            "# Edge features 1\n",
            "# Node features 1433\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bc515412",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8e0c0b55-b834-42d8-f197-9d1111173e44"
      },
      "source": [
        "aids.data"
      ],
      "id": "bc515412",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Data(edge_attr=[64780, 3], edge_index=[2, 64780], x=[31385, 38], y=[2000])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "01156378",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "19b9ff62-d912-4a7a-8f71-76081cce9dc7"
      },
      "source": [
        "aids[0]"
      ],
      "id": "01156378",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Data(edge_attr=[106, 3], edge_index=[2, 106], x=[47, 38], y=[1])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b5f2969b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "669ed852-d83e-4a16-8f7f-4e2633904fad"
      },
      "source": [
        "cora.data"
      ],
      "id": "b5f2969b",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Data(edge_index=[2, 10556], test_mask=[2708], train_mask=[2708], val_mask=[2708], x=[2708, 1433], y=[2708])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9c3c5687",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0dc4d2bc-4a9b-4e16-c320-7721f32de932"
      },
      "source": [
        "cora[0]"
      ],
      "id": "9c3c5687",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Data(edge_attr=[10556, 1], edge_index=[2, 10556], test_mask=[2708], train_mask=[2708], val_mask=[2708], x=[2708, 1433], y=[2708])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "be4f3c84"
      },
      "source": [
        "cora_loader = data.DataLoader(cora)"
      ],
      "id": "be4f3c84",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fa2dd7c9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b3b862bf-6281-43eb-fd32-616c9fc81732"
      },
      "source": [
        "for l in cora_loader:\n",
        "    print(l)\n",
        "    break"
      ],
      "id": "fa2dd7c9",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Batch(batch=[2708], edge_attr=[10556, 1], edge_index=[2, 10556], ptr=[2], test_mask=[2708], train_mask=[2708], val_mask=[2708], x=[2708, 1433], y=[2708])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ae6db427"
      },
      "source": [
        ""
      ],
      "id": "ae6db427",
      "execution_count": null,
      "outputs": []
    }
  ]
}