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            "order": null,
            "overflow": null,
            "overflow_x": null,
            "overflow_y": null,
            "padding": null,
            "right": null,
            "top": null,
            "visibility": null,
            "width": null
          }
        },
        "93b2fc24c8df42b29071058dd35615f1": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "model_module_version": "1.5.0",
          "state": {
            "_model_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_model_name": "DescriptionStyleModel",
            "_view_count": null,
            "_view_module": "@jupyter-widgets/base",
            "_view_module_version": "1.2.0",
            "_view_name": "StyleView",
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      }
    },
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nhK0LDxTGaND"
      },
      "source": [
        "# Lab — Deep Graph Generative Models"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "In this lab we consider deep graph generation model on synthetic dataset."
      ],
      "metadata": {
        "id": "-qUGgwa6CVTx"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mDA79edgioG2"
      },
      "source": [
        "### Mini graph classification dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "First, define the custom dataset based on DGL MiniGCDataset."
      ],
      "metadata": {
        "id": "lk2uTaOIChD8"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "00BSVPv7j4pH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "85206576-7ec3-4ff3-eb4b-352323e03f5f"
      },
      "source": [
        "#!pip install dgl-cu111 -f https://data.dgl.ai/wheels/repo.html -q\n",
        "!pip install dgl -q"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[K     |████████████████████████████████| 4.9 MB 4.8 MB/s \n",
            "\u001b[K     |████████████████████████████████| 291 kB 45.4 MB/s \n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g_nk7-p8kGC2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a50a72ba-3f59-4294-898e-34ea4bbefa8a"
      },
      "source": [
        "import torch\n",
        "from torch import nn\n",
        "from torch.utils.data import Subset, DataLoader\n",
        "import torch.nn.functional as F\n",
        "from torch.optim import Adam, SGD, RMSprop\n",
        "\n",
        "import dgl\n",
        "from dgl.data import DGLDataset, MiniGCDataset\n",
        "from dgl.dataloading import GraphDataLoader\n",
        "from dgl.nn import GraphConv, AvgPooling\n",
        "\n",
        "import networkx as nx\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.manifold import TSNE\n",
        "from sklearn.decomposition import PCA\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "from IPython.display import clear_output"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "DGL backend not selected or invalid.  Assuming PyTorch for now.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Setting the default backend to \"pytorch\". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable.  Valid options are: pytorch, mxnet, tensorflow (all lowercase)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kat9t8CmjAsv"
      },
      "source": [
        "class OrderingGCD(MiniGCDataset):\n",
        "    def process(self):\n",
        "        self.full_adj = []\n",
        "        super(OrderingGCD, self).process()\n",
        "        for graph in tqdm(self.graphs):\n",
        "            G1 = nx.Graph(graph.to_networkx())\n",
        "            G2 = graph.to_networkx()\n",
        "\n",
        "            degree = list(nx.degree_centrality(G1).values())\n",
        "            betweenness = list(nx.betweenness_centrality(G1).values())\n",
        "            closeness = list(nx.closeness_centrality(G1).values())\n",
        "            eigenvector = list(nx.eigenvector_centrality(G1, max_iter=200).values())\n",
        "            node_feat = torch.FloatTensor(\n",
        "                np.vstack([degree, betweenness, closeness, eigenvector]).T\n",
        "            )\n",
        "            graph.ndata['feat'] = node_feat\n",
        "\n",
        "            adj = graph.adj().to_dense()\n",
        "            top_degree = adj.sum(dim=1).argmax()\n",
        "            bfs_seq = dgl.bfs_nodes_generator(graph, top_degree)\n",
        "            idx = torch.cat(bfs_seq)\n",
        "            adj = adj[idx, :][:, idx]\n",
        "            k = self.max_num_v - adj.shape[0]\n",
        "            full_adj = F.pad(adj, (0, k, 0, k))\n",
        "            full_adj = full_adj.reshape(1, self.max_num_v, self.max_num_v)\n",
        "            \n",
        "            self.full_adj.append(full_adj)\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        return self.graphs[idx], self.labels[idx], self.full_adj[idx]"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "referenced_widgets": [
            "ea8c64caed364acb909708de36be7386",
            "d5c7bb4ec2b3499d8858772811817e4d",
            "ddd8583be9514cf4b599b8b253588bc3",
            "6417529fbdf042b0aa97c95a4f83ecd1",
            "20e3eb8ab4b8425b84db966b5608ad8a",
            "11cccc3258d04fd7b6f9a1bbba82752d",
            "c362796c88f3490988a8dd0a37fd4ff5",
            "b589ade776a64c1f8dda619ce392db91",
            "e58b384e93794c93b77eb06385a059f0",
            "b59c1b83998843d1b38f27702dc123d9",
            "720ff805b15046adb90e411831de8cf7"
          ],
          "height": 49
        },
        "id": "Pqm6yyx5k3Yc",
        "outputId": "eb8b2946-2869-493b-90d2-1a281822254f"
      },
      "source": [
        "graph_type = {\n",
        "    0: 'cycle graph', \n",
        "    1: 'star graph', \n",
        "    2: 'wheel graph', \n",
        "    3: 'lollipop graph', \n",
        "    4: 'hypercube graph',\n",
        "    5: 'grid graph',\n",
        "    6: 'clique graph',\n",
        "    7: 'circular ladder graph'\n",
        "}\n",
        "\n",
        "max_num_v = 12\n",
        "dataset = OrderingGCD(\n",
        "    num_graphs=800*2, \n",
        "    min_num_v=6, \n",
        "    max_num_v=max_num_v, \n",
        "    seed=0, \n",
        "    force_reload=True\n",
        ")"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1600 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "ea8c64caed364acb909708de36be7386"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let us look at some graphs from the dataset."
      ],
      "metadata": {
        "id": "CwWC9y4NCuTi"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591
        },
        "id": "uqnqBpMCHks-",
        "outputId": "cd288ecd-dd0a-4311-b3be-e0b47cb46ee2"
      },
      "source": [
        "N = len(dataset)\n",
        "plt.figure(figsize=(10, 10))\n",
        "np.random.seed(0)\n",
        "for i in range(16):\n",
        "    plt.subplot(4, 4, i+1)\n",
        "    g, l, adj = dataset[np.random.randint(N)]\n",
        "    g = nx.Graph(g.to_networkx())\n",
        "    g.remove_edges_from(nx.selfloop_edges(g))\n",
        "    nx.draw_kamada_kawai(g, node_size=30, node_color=[plt.cm.Set1.colors[l.item()]])\n",
        "    plt.title(graph_type[l.item()])"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ofp7exBaGmIl"
      },
      "source": [
        "### Graph VAE"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Consider the graph generation method based on Variational Autoencoder that can be used for generaion small graphs."
      ],
      "metadata": {
        "id": "1WTdQaJKC1gP"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cKDY9RWqG1uh"
      },
      "source": [
        " Simonovsky and Komodakis [2018] https://arxiv.org/abs/1802.03480"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gb754nB7VkJV"
      },
      "source": [
        "<img src='https://raw.githubusercontent.com/netspractice/advanced_gnn/made2021/lab_deep_generation/graph_vae.png' width=800>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lfnKGnYlNjgI"
      },
      "source": [
        "GCN encoder with graph pooling is used for mapping graph into the N(0, I) latent space."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Njn3S3toifuw"
      },
      "source": [
        "class GaussianGCN(nn.Module):\n",
        "    def __init__(self, input_dim, hidden_dim, output_dim):\n",
        "        super().__init__()\n",
        "        self.conv = GraphConv(input_dim, hidden_dim)\n",
        "        self.mu = GraphConv(hidden_dim, output_dim)\n",
        "        self.sigma = GraphConv(hidden_dim, output_dim)\n",
        "        self.pooling = AvgPooling()\n",
        "\n",
        "    def forward(self, g, features):\n",
        "        h = self.conv(g, features)\n",
        "        h = F.relu(h)\n",
        "        mu = self.mu(g, h)\n",
        "        sigma = F.softplus(self.sigma(g, h))\n",
        "        return self.pooling(g, mu), self.pooling(g, sigma)"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4ZocSQX2Wuyv"
      },
      "source": [
        "graph, label, adj = dataset[0]"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ou3NXvbbCAXb",
        "outputId": "f830cc01-dbb7-4b62-f6da-49c96457d2d7"
      },
      "source": [
        "encoder = GaussianGCN(input_dim=4, hidden_dim=256, output_dim=128)\n",
        "z_mu, z_sigma = encoder(graph, graph.ndata['feat'])\n",
        "z_mu.shape, z_sigma.shape"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(torch.Size([1, 128]), torch.Size([1, 128]))"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uxa9sy3JNoTo"
      },
      "source": [
        "Probabilistic fully-connected graph decoder is used for reconstraction of the adjacency matrix."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rowrR9RxBZlq"
      },
      "source": [
        "class MLP(nn.Module):\n",
        "    def __init__(self, input_dim, hidden_dim, n_nodes):\n",
        "        super().__init__()\n",
        "        self.n_nodes = n_nodes\n",
        "        self.MLP = nn.Sequential(\n",
        "            nn.Linear(input_dim, hidden_dim),\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(hidden_dim, n_nodes**2),\n",
        "            nn.Sigmoid()\n",
        "        )\n",
        "    def forward(self, x):\n",
        "        x = self.MLP(x)\n",
        "        return x.reshape(-1, self.n_nodes, self.n_nodes)"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6LwvXAXGJz4W",
        "outputId": "48466e37-ef03-4d97-dd2c-3a64313fd1b1"
      },
      "source": [
        "decoder = MLP(input_dim=128, hidden_dim=256, n_nodes=max_num_v)\n",
        "pred_adj = decoder(z_mu)\n",
        "pred_adj = pred_adj[0]\n",
        "pred_adj.shape"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([12, 12])"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Negative ELBO (evidence lower bound) is optimized during VAE training."
      ],
      "metadata": {
        "id": "E_Irmh1eDgnV"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cFB4y8imL2BI"
      },
      "source": [
        "def neg_elbo(pred_adj, adj, sigma, mu, batch_size):\n",
        "    likelihood = -F.binary_cross_entropy(pred_adj, adj)\n",
        "    d_kl = -(1 + torch.log(sigma**2) - mu**2 - sigma**2) * 0.5 / batch_size\n",
        "    d_kl = d_kl.sum(1).mean()\n",
        "    elbo = likelihood - d_kl\n",
        "    return -elbo"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Prepare the dataloader for the VAE training."
      ],
      "metadata": {
        "id": "VdSMtZaqD1Vo"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ejYhYPrOzI4"
      },
      "source": [
        "def collate(sample):\n",
        "    graphs, labels, full_adj = map(list, zip(*sample))\n",
        "    graph = dgl.batch(graphs)\n",
        "    labels = torch.tensor(labels)\n",
        "    full_adj = torch.cat(full_adj)\n",
        "    return graph, labels, full_adj\n",
        "\n",
        "batch_size = 32\n",
        "train_dataloader = DataLoader(\n",
        "    dataset, batch_size=batch_size, drop_last=True, collate_fn=collate, shuffle=True)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T1qBKKoKPlap"
      },
      "source": [
        "Define training method."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VHPWrwv-PnNQ"
      },
      "source": [
        "def train(encoder, decoder, dataloader, opt, batch_size, emb_dim):\n",
        "    encoder.train()\n",
        "    decoder.train()\n",
        "    _train_loss = []\n",
        "    for graph, label, full_adj in dataloader:\n",
        "        mu, sigma = encoder(graph, graph.ndata['feat'])\n",
        "        z = torch.randn(batch_size, emb_dim)\n",
        "        z = z * sigma + mu\n",
        "        pred_adj = decoder(z)\n",
        "        loss = neg_elbo(pred_adj, full_adj, sigma, mu, batch_size)\n",
        "\n",
        "        opt.zero_grad()\n",
        "        loss.backward()\n",
        "        opt.step()\n",
        "        _train_loss.append(loss.item())\n",
        "    return sum(_train_loss) / len(_train_loss)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Define models and an optimizer."
      ],
      "metadata": {
        "id": "A2w8qQKMEdr0"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qe74_WGoRrrG"
      },
      "source": [
        "emb_dim = 32\n",
        "encoder = GaussianGCN(input_dim=4, hidden_dim=256, output_dim=emb_dim)\n",
        "decoder = MLP(input_dim=emb_dim, hidden_dim=256, n_nodes=max_num_v)\n",
        "params = list(encoder.parameters()) + list(decoder.parameters())\n",
        "opt = Adam(params, lr=0.005)"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "WcHyAkZwMx9O",
        "outputId": "9fcb2832-698f-4497-b808-1bddb83ae415"
      },
      "source": [
        "n_epochs = 100\n",
        "train_loss = []\n",
        "for epoch in range(n_epochs):\n",
        "    loss = train(encoder, decoder, train_dataloader, opt, batch_size, emb_dim)\n",
        "    train_loss.append(loss)\n",
        "    plt.plot(train_loss[-50:], label='train')\n",
        "    plt.legend()\n",
        "    plt.title('Negative ELBO loss. Epoch: {}/{}'.format(epoch+1, n_epochs))\n",
        "    plt.show()\n",
        "    clear_output(wait=True)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GGX9w9fVYmN7"
      },
      "source": [
        "Let us check the graph generation. We will descretize an adjacency matrix and drop zero colums and rows."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8AfxdM6dY--L"
      },
      "source": [
        "def discrete_adj(batch):\n",
        "    adjs = []\n",
        "    for pred_adj in batch:\n",
        "        _adj = (pred_adj > 0.5).type(torch.LongTensor)\n",
        "        _adj[range(max_num_v), range(max_num_v)] = 0\n",
        "        mask = (_adj.sum(dim=1) != 0) | (_adj.sum(dim=0) != 0)\n",
        "        adjs.append(_adj[mask, :][:, mask])\n",
        "    return adjs"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "3wjYEUK5YJxx",
        "outputId": "8246de23-aff5-44f1-ec96-ec86777b90ac"
      },
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "z = torch.randn(16, emb_dim)\n",
        "decoder.eval()\n",
        "with torch.no_grad():\n",
        "    pred_adj = decoder(z)\n",
        "gen_adj = discrete_adj(pred_adj)\n",
        "for i in range(16):\n",
        "    plt.subplot(4, 4, i+1)\n",
        "    G = nx.from_numpy_array(gen_adj[i].numpy())\n",
        "    G.remove_edges_from(nx.selfloop_edges(G))\n",
        "    nx.draw_kamada_kawai(G, node_size=30)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gD6_EKoFYpNa"
      },
      "source": [
        "Let us look at the graph embedding space."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MEd8_QEGT4MR"
      },
      "source": [
        "batch = dgl.batch([graph for graph, label, full_adj in dataset])\n",
        "y = np.array([label.item() for graph, label, full_adj in dataset])\n",
        "with torch.no_grad():\n",
        "    encoder.eval()\n",
        "    z_mu, z_sigma = encoder(batch, batch.ndata['feat'])"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will visualize embeddings using TSNE decomposition."
      ],
      "metadata": {
        "id": "9ymbNOenFdoc"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C9Tkp8_fVgh3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c2b8ac28-e8ff-41b5-f71f-8854cf3f196a"
      },
      "source": [
        "reduction = TSNE(n_components=2)\n",
        "xy_emb = reduction.fit_transform(z_mu)"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_t_sne.py:783: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
            "  FutureWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_t_sne.py:793: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
            "  FutureWarning,\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "W88zQQjsXA8n",
        "outputId": "1c0b9d82-5c3f-45f3-e9be-dc0924f36420"
      },
      "source": [
        "plt.figure(figsize=(10, 7))\n",
        "for i, g_type in graph_type.items():\n",
        "    plt.scatter(xy_emb[y==i, 0], xy_emb[y==i, 1], s=30, label=g_type)\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AlUJb8DmG-aJ"
      },
      "source": [
        "### Graph GAN"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We consider the simplified Graph GAN model where we only generate the adjacency matrix."
      ],
      "metadata": {
        "id": "5Q8yvdRbGWVb"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "esGnh-odG38T"
      },
      "source": [
        "by De Cao and Kipf [2018]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nVZCLUU3Vz7e"
      },
      "source": [
        "<img src='https://raw.githubusercontent.com/netspractice/advanced_gnn/made2021/lab_deep_generation/graph_gan.png' width=800>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "For simplicity, consider GAN trained on the truncated dataset. Select a subsample with lollipop graphs only."
      ],
      "metadata": {
        "id": "3Gcd27DmGnmK"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "da0b4ae56ff8424a8fd958adc072c1fe",
            "de710e1690174a76b3e0fd189e258861",
            "edb2b33804954e7699be3f9b268de40b",
            "191760df6ce3460fb013aa6303876628",
            "3ae1d0159c654de49ef8a958bbf9fca1",
            "9af2a136b80940ecb0375b97c7d890cc",
            "02dcb759801e4114a6a1bd0a99a924a1",
            "e376ece999ae4910be122a37833d1040",
            "4228901531f747a599349d6952389f90",
            "3d7bbc5a700a4d31933ecddf40ce774c",
            "93b2fc24c8df42b29071058dd35615f1"
          ]
        },
        "id": "Bzcs4Ge1kvNx",
        "outputId": "8dab47b6-7289-43d3-90f6-1658b943b9c1"
      },
      "source": [
        "max_num_v = 12\n",
        "dataset = OrderingGCD(\n",
        "    num_graphs=800*2, \n",
        "    min_num_v=6, \n",
        "    max_num_v=max_num_v, \n",
        "    seed=0, \n",
        "    force_reload=True\n",
        ")\n",
        "dataset = Subset(dataset, np.arange(600, 700))"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/1600 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "da0b4ae56ff8424a8fd958adc072c1fe"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591
        },
        "id": "e1RUqHSSk_bj",
        "outputId": "a7a8f4d7-1f96-4b50-9a23-ebd1ff2a5efa"
      },
      "source": [
        "N = len(dataset)\n",
        "plt.figure(figsize=(10, 10))\n",
        "np.random.seed(0)\n",
        "for i in range(16):\n",
        "    plt.subplot(4, 4, i+1)\n",
        "    g, l, adj = dataset[np.random.randint(N)]\n",
        "    g = nx.Graph(g.to_networkx())\n",
        "    g.remove_edges_from(nx.selfloop_edges(g))\n",
        "    nx.draw_kamada_kawai(g, node_size=30, node_color=[plt.cm.Set1.colors[l.item()]])\n",
        "    plt.title(graph_type[l.item()])"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Define the dataloader."
      ],
      "metadata": {
        "id": "Os0i1mhNGzsv"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MazBtkxTlVV_"
      },
      "source": [
        "batch_size = 64\n",
        "train_dataloader = DataLoader(\n",
        "    dataset, batch_size=batch_size, drop_last=True, collate_fn=collate, shuffle=True)"
      ],
      "execution_count": 222,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will use two-layer GCN with an average graph pooling as a discriminator. Since we will generate adjacency matrix, and then pass them through GCN, we cannot use message passing. Thus, implement GCN on matrix multiplication."
      ],
      "metadata": {
        "id": "K5G988zOG22t"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bmxcHdX55Owu"
      },
      "source": [
        "class PoolingGCN(nn.Module):\n",
        "    def __init__(self, input_dim, hidden_dim, output_dim):\n",
        "        super().__init__()\n",
        "        self.dense1 = nn.Linear(input_dim, hidden_dim)\n",
        "        self.dense2 = nn.Linear(hidden_dim, output_dim)\n",
        "\n",
        "    def forward(self, adj, feat):\n",
        "        norm = torch.diag_embed(adj.sum(dim=1)**-0.5)\n",
        "        L = norm @ adj @ norm\n",
        "        h = F.relu(L @ self.dense1(feat))\n",
        "        h = self.dense2(h)\n",
        "        return h.mean(dim=1)"
      ],
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sVOC9EbiSyRX",
        "outputId": "0a8b93e0-d379-499c-bb15-dea83b609c57"
      },
      "source": [
        "disc = PoolingGCN(input_dim=max_num_v, hidden_dim=64, output_dim=1)\n",
        "\n",
        "adj = torch.rand(batch_size, 12, 12)\n",
        "feat = torch.rand(batch_size, 12, max_num_v)\n",
        "disc(adj, feat).shape"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([32, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will generate graph by two-layer MLP."
      ],
      "metadata": {
        "id": "VtAcbZMCHglG"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cpGptfyfmErS"
      },
      "source": [
        "class MLP(nn.Module):\n",
        "    def __init__(self, input_dim, hidden_dim, n_nodes):\n",
        "        super().__init__()\n",
        "        self.n_nodes = n_nodes\n",
        "        self.MLP = nn.Sequential(\n",
        "            nn.Linear(input_dim, hidden_dim),\n",
        "            nn.ReLU(),\n",
        "            nn.Linear(hidden_dim, n_nodes**2),\n",
        "            nn.Sigmoid()\n",
        "        )\n",
        "    def forward(self, x):\n",
        "        x = self.MLP(x)\n",
        "        return x.reshape(-1, self.n_nodes, self.n_nodes)"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RYWwxKWNBmgq",
        "outputId": "130229e3-003e-4946-b033-2cb57924edb4"
      },
      "source": [
        "emb_dim = 32\n",
        "gen = MLP(input_dim=emb_dim, hidden_dim=256, n_nodes=max_num_v)\n",
        "\n",
        "z = torch.randn(batch_size, emb_dim)\n",
        "fake_adj = gen(z)\n",
        "fake_adj.shape"
      ],
      "execution_count": 293,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([64, 12, 12])"
            ]
          },
          "metadata": {},
          "execution_count": 293
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XC-BMML-KzlB",
        "outputId": "a227036f-b4a6-459a-a113-f6cb319eafe4"
      },
      "source": [
        "disc(fake_adj, feat).shape"
      ],
      "execution_count": 294,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([64, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 294
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
        "device"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "W9WaSFbvcyCp",
        "outputId": "62a7b1ac-b616-4941-e986-bf9ef6e4a2dd"
      },
      "execution_count": 295,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'cpu'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 295
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Training consists of two steps: generator optimization and k times of discriminator optimization. We also align graphs in a mini-batch by zero columns and rows so that graphs have adjacency matrices of the same size."
      ],
      "metadata": {
        "id": "xS7s2V-IHpL0"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EFRat1rQUcYv"
      },
      "source": [
        "def train(dataloader, gen, disc, gen_opt, disc_opt, batch_size, emb_dim):\n",
        "    gen.train()\n",
        "    disc.train()\n",
        "    _gen_loss = []\n",
        "    _disc_loss = []\n",
        "    for real_graph, label, real_adj in dataloader:\n",
        "\n",
        "        features = []\n",
        "        adjacency = []\n",
        "        for g in dgl.unbatch(real_graph):\n",
        "            k = max_num_v - g.number_of_nodes()\n",
        "            features.append(F.pad(g.ndata['feat'], (0, 0, 0, k))[None, ...])\n",
        "            adjacency.append(F.pad(g.adj().to_dense(), (0, k, 0, k))[None, ...])\n",
        "        real_adj = torch.cat(adjacency)\n",
        "        real_adj[:, range(max_num_v), range(max_num_v)] = 1\n",
        "        real_feat = torch.cat(features)\n",
        "\n",
        "        real_feat = real_feat.to(device)\n",
        "        real_adj = real_adj.to(device)\n",
        "\n",
        "        for _ in range(3):\n",
        "            z = torch.randn(batch_size, emb_dim, device=device)\n",
        "            with torch.no_grad():\n",
        "                fake_adj = gen(z)\n",
        "\n",
        "            term1 = F.binary_cross_entropy_with_logits(\n",
        "                disc(real_adj, real_feat), torch.ones(batch_size, 1, device=device))\n",
        "            term2 = F.binary_cross_entropy_with_logits(\n",
        "                disc(fake_adj, real_feat), torch.zeros(batch_size, 1, device=device))\n",
        "            disc_loss = term1 + term2\n",
        "\n",
        "            disc_opt.zero_grad()\n",
        "            disc_loss.backward()\n",
        "            disc_opt.step()\n",
        "\n",
        "        z = torch.randn(batch_size, emb_dim, device=device)\n",
        "        fake_adj = gen(z)\n",
        "\n",
        "        gen_loss = F.binary_cross_entropy_with_logits(\n",
        "            disc(fake_adj, real_feat), torch.ones(batch_size, 1, device=device))\n",
        "\n",
        "        gen_opt.zero_grad()\n",
        "        gen_loss.backward()\n",
        "        gen_opt.step()\n",
        "        \n",
        "        _disc_loss.append(disc_loss.item())\n",
        "        _gen_loss.append(gen_loss.item())\n",
        "\n",
        "    return sum(_gen_loss)/len(_gen_loss), sum(_disc_loss)/len(_disc_loss)"
      ],
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def discrete_adj(batch):\n",
        "    adjs = []\n",
        "    for pred_adj in batch:\n",
        "        _adj = (pred_adj > 0.5).type(torch.LongTensor)\n",
        "        _adj[range(max_num_v), range(max_num_v)] = 0\n",
        "        mask = (_adj.sum(dim=1) != 0) | (_adj.sum(dim=0) != 0)\n",
        "        adjs.append(_adj[mask, :][:, mask])\n",
        "    return adjs"
      ],
      "metadata": {
        "id": "RMRSausVY_Yt"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Define models and optimizers."
      ],
      "metadata": {
        "id": "bqQVoi7mIzow"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uF1lt-zgucz7"
      },
      "source": [
        "emb_dim = 32\n",
        "gen = MLP(input_dim=emb_dim, hidden_dim=256, n_nodes=max_num_v)\n",
        "disc = PoolingGCN(input_dim=4, hidden_dim=256, output_dim=1)\n",
        "gen.to(device)\n",
        "disc.to(device);"
      ],
      "execution_count": 298,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "giL0n3a_vUyN"
      },
      "source": [
        "gen_opt = Adam(gen.parameters(), lr=0.005)\n",
        "disc_opt = Adam(disc.parameters(), lr=0.005)"
      ],
      "execution_count": 311,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Train the models."
      ],
      "metadata": {
        "id": "bRJEnNQQI2-m"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 227
        },
        "id": "j4Gz4ndS3wI_",
        "outputId": "439292d4-64b3-4df2-df42-5bc1b191b214"
      },
      "source": [
        "n_epochs = 100\n",
        "gen_loss = []\n",
        "disc_loss = []\n",
        "for epoch in range(n_epochs):\n",
        "    g_loss, d_loss = train(train_dataloader, gen, disc, gen_opt, disc_opt, batch_size, emb_dim)\n",
        "    gen_loss.append(g_loss)\n",
        "    disc_loss.append(d_loss)\n",
        "\n",
        "    plt.figure(figsize=(12, 3))\n",
        "    plt.subplot(1, 2, 1)\n",
        "    plt.plot(gen_loss[-200:], label='gen')\n",
        "    plt.plot(disc_loss[-200:], label='disc')\n",
        "    plt.legend()\n",
        "    plt.title('GAN loss. Epoch: {}/{}'.format(epoch+1, n_epochs))\n",
        "    plt.subplot(1, 2, 2)\n",
        "    z = torch.randn(1, emb_dim, device=device)\n",
        "    with torch.no_grad():\n",
        "        fake_adj = gen(z).cpu()\n",
        "    fake_adj = discrete_adj(fake_adj)\n",
        "    G = nx.from_numpy_array(fake_adj[0].numpy())\n",
        "    G.remove_edges_from(nx.selfloop_edges(G))\n",
        "    nx.draw_kamada_kawai(G, node_size=30)\n",
        "    plt.show()\n",
        "    clear_output(wait=True)"
      ],
      "execution_count": 312,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x216 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UfadeQ9JZKqf"
      },
      "source": [
        "Check the generation."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "oIBJ7dnBbJky",
        "outputId": "8804a856-09f4-4e57-ddba-37141f0012eb"
      },
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "z = torch.randn(batch_size, emb_dim)\n",
        "gen.eval()\n",
        "with torch.no_grad():\n",
        "    fake_adj = gen(z)\n",
        "fake_adj = discrete_adj(fake_adj)\n",
        "for i in range(16):\n",
        "    plt.subplot(4, 4, i+1)\n",
        "    G = nx.from_numpy_array(fake_adj[i].numpy())\n",
        "    G.remove_edges_from(nx.selfloop_edges(G))\n",
        "    nx.draw_kamada_kawai(G, node_size=30)"
      ],
      "execution_count": 313,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "5R31S8ny-FmH"
      },
      "execution_count": 234,
      "outputs": []
    }
  ]
}