gnn.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "gnntest.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Dededon/COVID_Twitter/blob/main/gnn.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B9dpthRH12v5",
        "outputId": "8a3845cf-744c-4c46-9c05-44b990ec4135"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yHZucfCJH0uS"
      },
      "source": [
        "!pip install -q tf_geometric\n",
        "!pip install -q umap-learn\n",
        "!pip install -q hdbscan"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JSWI4aU4pW1r"
      },
      "source": [
        "import os\n",
        "import sys\n",
        "sys.path.append('drive/MyDrive/HKUST/Comp 4641 Project')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L9LG5wtwH6Wi"
      },
      "source": [
        "import tf_geometric as tfg\n",
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "import networkx as nx\n",
        "import pandas as pd\n",
        "from sklearn.utils import shuffle\n",
        "from collections import defaultdict\n",
        "from itertools import chain\n",
        "import random\n",
        "from node2vec import get_alias_node, get_alias_edge, generate_dfs_second_order_random_walk\n",
        "import time\n",
        "from embedding import Embedding"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-yFYGf9tH-Jf",
        "outputId": "5ed23216-9176-40e7-9330-349864088304"
      },
      "source": [
        "graph = tfg.Graph(x=np.random.randn(5, 20), edge_index=[[0, 0, 1, 3], [1, 2, 2, 1]])\n",
        "print(graph)\n",
        "print(type(graph.x), graph.x)\n",
        "print(type(graph.edge_index), graph.edge_index)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Graph Shape: x => (5, 20)\tedge_index => (2, 4)\ty => None\n",
            "<class 'numpy.ndarray'> [[-0.6054517  -0.43800205  1.1190432   0.04068116 -1.4557985  -0.40195954\n",
            "   1.1968565   1.0391793  -0.19999991  0.7406687  -0.00756246 -0.7867857\n",
            "   1.8752297  -0.23555064 -0.28036514 -0.9180866   0.66054046 -0.11250326\n",
            "  -0.19334614 -0.5354105 ]\n",
            " [-0.808298    0.5541919  -0.32236695 -0.28605366 -0.703962   -0.17256828\n",
            "  -2.2642515   0.19812916 -0.32366922  0.09745684  0.69422054  0.5185028\n",
            "   1.5437448  -0.92228657 -0.13216089  1.2401592   0.21163127  1.4224763\n",
            "  -0.41666663 -0.17155567]\n",
            " [-2.0567605  -0.00664002  0.2653582   0.1945288  -0.66989505  0.01681617\n",
            "  -0.70023566  0.28165427  0.02674107 -0.6237229   1.2868816  -1.0326909\n",
            "  -0.34973937  0.11500733 -0.3056918  -0.5020506  -0.3423136   0.19382189\n",
            "   0.954952    0.86156994]\n",
            " [-0.78810275  0.3257946   1.331855    1.1322508   1.7268549  -0.7853585\n",
            "  -0.3184239   1.3500602  -1.3758922   1.7275106   0.9616103  -0.88674456\n",
            "  -0.30857915 -0.812607    0.43113577 -0.7097484   0.63827986 -1.0344077\n",
            "  -0.63731015 -1.0324159 ]\n",
            " [-1.8067547  -0.36260518  0.32843417 -0.67582625 -1.6508323   0.28377733\n",
            "  -0.12706134 -1.5996054  -0.01476239 -1.00105    -0.41631293  1.3826761\n",
            "   0.606712    0.5639478  -0.05416411 -0.05710163  0.5169937  -1.03922\n",
            "   0.8433426   0.8110482 ]]\n",
            "<class 'numpy.ndarray'> [[0 0 1 3]\n",
            " [1 2 2 1]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "INtMKUIG2gGA"
      },
      "source": [
        "# Create Models"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PonNMsOwI7jI"
      },
      "source": [
        "def cosine_embedding_loss(margin=0.0):\n",
        "    def func(y_true, y_pred):\n",
        "        y_true = tf.cast(y_true, dtype=y_pred.dtype)\n",
        "        y_false = tf.constant(1, dtype=y_true.dtype) - y_true\n",
        "        loss_true = tf.constant(1, dtype=y_pred.dtype) - y_pred\n",
        "        zero = tf.constant(0, dtype=y_pred.dtype)\n",
        "        m = tf.constant(margin, dtype=y_pred.dtype)\n",
        "        loss_false = tf.maximum(zero, y_pred - m)\n",
        "        return tf.reduce_mean(loss_true * y_true + loss_false * y_false)\n",
        "    return func"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G_k2WwG5r0x5"
      },
      "source": [
        "class GCNModel(tf.keras.Model):\n",
        "\n",
        "    def __init__(self, edge_index, node_embedding=None, edge_weight=None, emb_size=768, dropout=0.3, *args, **kwargs):\n",
        "        super().__init__(*args, **kwargs)\n",
        "        self.edge_index = edge_index\n",
        "        if not tf.is_tensor(self.edge_index):\n",
        "            self.edge_index = tf.convert_to_tensor(edge_index, dtype=tf.int32)\n",
        "        self.node_embedding = node_embedding\n",
        "        if self.node_embedding is None:\n",
        "            self.node_embedding = tf.random.normal((tf.reduce_max(self.edge_index) + 1, emb_size))\n",
        "        elif not tf.is_tensor(self.node_embedding):\n",
        "            self.node_embedding = tf.convert_to_tensor(self.node_embedding, dtype=tf.float32)\n",
        "        self.edge_weight = edge_weight\n",
        "        if self.edge_weight is None:\n",
        "            self.edge_weight = tf.ones(self.edge_index.shape[1], dtype=tf.float32)\n",
        "        elif not tf.is_tensor(self.edge_weight):\n",
        "            self.edge_weight = tf.convert_to_tensor(self.edge_weight, dtype_hint=tf.float32)\n",
        "        self.gcn0 = tfg.layers.GCN(emb_size, name=\"Embedding-1\")\n",
        "        self.dropout0 = tf.keras.layers.Dropout(dropout, name=\"Dropout-1\")\n",
        "        self.gcn1 = tfg.layers.GCN(emb_size, name=\"Embedding-2\")\n",
        "        self.dropout1 = tf.keras.layers.Dropout(dropout, name=\"Dropout-2\")\n",
        "        self.cossim = tf.keras.layers.Dot(-1, True, name=\"Cossim\")\n",
        "\n",
        "    def __call__(self, inputs, training=None, mask=None, cache=None):\n",
        "        target_edges = inputs\n",
        "        h = self.dropout0(self.node_embedding, training=training)\n",
        "        h = self.gcn0([h, self.edge_index, self.edge_weight], cache=cache)\n",
        "        h = self.dropout1(h, training=training)\n",
        "        h = self.gcn1([h, self.edge_index, self.edge_weight], cache=cache)\n",
        "        h = tf.nn.embedding_lookup(h, target_edges)\n",
        "        h1 = tf.slice(h, [0, 0, 0], [-1, 1, -1])\n",
        "        h2 = tf.slice(h, [0, 1, 0], [-1, -1, -1])\n",
        "        h = self.cossim([h1, h2])\n",
        "        h = tf.squeeze(h)\n",
        "        return h"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LlYBiJNzG5J9"
      },
      "source": [
        "class GATModel(tf.keras.Model):\n",
        "\n",
        "    def __init__(self, edge_index, node_embedding=None, edge_weight=None, emb_size=768, dropout=0.3, *args, **kwargs):\n",
        "        super().__init__(*args, **kwargs)\n",
        "        self.edge_index = edge_index\n",
        "        if not tf.is_tensor(self.edge_index):\n",
        "            self.edge_index = tf.convert_to_tensor(edge_index, dtype=tf.int32)\n",
        "        self.node_embedding = node_embedding\n",
        "        if self.node_embedding is None:\n",
        "            self.node_embedding = tf.random.normal((tf.reduce_max(self.edge_index) + 1, emb_size))\n",
        "        elif not tf.is_tensor(self.node_embedding):\n",
        "            self.node_embedding = tf.convert_to_tensor(self.node_embedding, dtype=tf.float32)\n",
        "        self.edge_weight = edge_weight\n",
        "        if self.edge_weight is None:\n",
        "            self.edge_weight = tf.ones(self.edge_index.shape[1], dtype=tf.int32)\n",
        "        elif not tf.is_tensor(self.edge_weight):\n",
        "            self.edge_weight = tf.convert_to_tensor(self.edge_weight, dtype_hint=tf.int32)\n",
        "        self.gat0 = tfg.layers.GAT(emb_size, 12, name=\"Embedding-1\")\n",
        "        self.dropout1 = tf.keras.layers.Dropout(dropout, name=\"Dropout-1\")\n",
        "        self.gat1 = tfg.layers.GAT(emb_size, 12, name=\"Embedding-2\")\n",
        "        self.dropout2 = tf.keras.layers.Dropout(dropout, name=\"Dropout-2\")\n",
        "        self.cossim = tf.keras.layers.Dot(-1, True, name=\"Cossim\")\n",
        "\n",
        "    def call(self, inputs, training=None, mask=None):\n",
        "        target_edges = inputs\n",
        "        h = self.dropout1(self.node_embedding, training=training)\n",
        "        h = self.gat0([h, self.edge_index, self.edge_weight])\n",
        "        h = self.dropout2(h, training=training)\n",
        "        h = self.gat1([h, self.edge_index, self.edge_weight])\n",
        "        h = tf.nn.embedding_lookup(h, target_edges)\n",
        "        h1 = tf.slice(h, [0, 0, 0], [-1, 1, -1])\n",
        "        h2 = tf.slice(h, [0, 1, 0], [-1, -1, -1])\n",
        "        h = self.cossim([h1, h2])\n",
        "        h = tf.squeeze(h)\n",
        "        return h"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VwdyMdwdnwWb"
      },
      "source": [
        "target_edges = [[0, 1], [1, 2], [0, 3]]\n",
        "y = [1, 1, 0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "giG0UmzTveeU",
        "outputId": "9744fbcb-2339-4c63-ff42-1ee73e553283"
      },
      "source": [
        "model = GCNModel(graph.edge_index)\n",
        "model(target_edges)\n",
        "model = GCNModel(graph.edge_index, graph.x, graph.edge_weight)\n",
        "model(target_edges)\n",
        "model = GCNModel(tf.convert_to_tensor(graph.edge_index), tf.convert_to_tensor(graph.x), tf.convert_to_tensor(graph.edge_weight))\n",
        "model(target_edges)\n",
        "model.compile(tf.keras.optimizers.Adam(1e-3), cosine_embedding_loss(0.2))\n",
        "model.fit(target_edges, y)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/array_ops.py:5049: calling gather (from tensorflow.python.ops.array_ops) with validate_indices is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "The `validate_indices` argument has no effect. Indices are always validated on CPU and never validated on GPU.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/embedding_lookup/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/embedding_lookup/Reshape:0\", shape=(None, 768), dtype=float32), dense_shape=Tensor(\"gradient_tape/embedding_lookup/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/Embedding-2/cond/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/Embedding-2/cond/Identity:0\", shape=(None, 768), dtype=float32), dense_shape=Tensor(\"gradient_tape/Embedding-2/cond/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/Embedding-1/cond/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/Embedding-1/cond/Identity:0\", shape=(None, 768), dtype=float32), dense_shape=Tensor(\"gradient_tape/Embedding-1/cond/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 2s 2s/step - loss: 0.1441\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f9deec30150>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "drVJwyU2pQ3l",
        "outputId": "89dcc818-d994-465b-c48e-f403e02b816a"
      },
      "source": [
        "model = GATModel(graph.edge_index)\n",
        "model(target_edges)\n",
        "model = GATModel(graph.edge_index, graph.x, graph.edge_weight)\n",
        "model(target_edges)\n",
        "model = GATModel(tf.convert_to_tensor(graph.edge_index), tf.convert_to_tensor(graph.x), tf.convert_to_tensor(graph.edge_weight))\n",
        "model(target_edges)\n",
        "model.compile(tf.keras.optimizers.Adam(1e-3), cosine_embedding_loss(0.2))\n",
        "model.fit(target_edges, y)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gat_model_2/Embedding-2/concat_1/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/gat_model_2/Embedding-2/concat_1/Identity:0\", shape=(None, 768), dtype=float32), dense_shape=Tensor(\"gradient_tape/gat_model_2/Embedding-2/concat_1/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gat_model_2/Embedding-1/concat_1/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/gat_model_2/Embedding-1/concat_1/Identity:0\", shape=(None, 768), dtype=float32), dense_shape=Tensor(\"gradient_tape/gat_model_2/Embedding-1/concat_1/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 3s 3s/step - loss: 0.1393\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f9def0dfdd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DNXRA8BN3AMN"
      },
      "source": [
        "# Create graph"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4jQ7augD5A12"
      },
      "source": [
        "mention_emb = pd.read_csv(\"pure_mention.csv\")\n",
        "bert_emb = pd.read_csv(\"drive/MyDrive/HKUST/Comp 4641 Project/BERT_vaccine_result.csv\")\n",
        "graph = nx.readwrite.gexf.read_gexf(\"drive/MyDrive/HKUST/Comp 4641 Project/networks/retweet_network_vaccine.gexf\")\n",
        "graph = graph.to_undirected()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eP_JJfzDf9Vi"
      },
      "source": [
        "nodes = set(mention_emb[\"node\"]).intersection(set(bert_emb[\"node\"])).intersection(set(graph.nodes()))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cA5T3PDv5L_7"
      },
      "source": [
        "bert_emb = bert_emb.loc[bert_emb[\"node\"].isin(nodes)].reset_index()\n",
        "mention_emb = mention_emb.loc[mention_emb[\"node\"].isin(nodes)].reset_index()\n",
        "graph = graph.subgraph(nodes)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BnNz9bTJS8P5"
      },
      "source": [
        "nodes = list(graph.nodes)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XNKqifOTs2RC"
      },
      "source": [
        "#isolated = list(nx.isolates(graph))\n",
        "#bert_emb = bert_emb.loc[~bert_emb[\"node\"].isin(isolated)].reset_index()\n",
        "#mention_emb = mention_emb.loc[~mention_emb[\"node\"].isin(isolated)].reset_index()\n",
        "#graph = nx.Graph(graph)\n",
        "#graph.remove_nodes_from(isolated)\n",
        "#nodes.difference_update(set(isolated))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uF5InU4vipPX",
        "outputId": "3f111758-0e98-4135-ab27-ae6dfb3f597e"
      },
      "source": [
        "len(bert_emb), len(mention_emb), graph.number_of_nodes(), len(nodes)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(16195, 16195, 16195, 16195)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QGW5BNyIPTX-"
      },
      "source": [
        "def generate_false_edges(true_edges, num_false_edges=5):\n",
        "    \"\"\"\n",
        "    generate false edges given true edges\n",
        "    \"\"\"\n",
        "    nodes = list(set(chain.from_iterable(true_edges)))\n",
        "    true_edges = set(true_edges)\n",
        "    false_edges = set()\n",
        "    \n",
        "    while len(false_edges) < num_false_edges:\n",
        "        # randomly sample two different nodes and check whether the pair exisit or not\n",
        "        head, tail = np.random.choice(nodes, 2)\n",
        "        if head != tail and ((head, tail) not in true_edges and (tail, head) not in true_edges) and ((head, tail) not in false_edges and (tail, head) not in false_edges):\n",
        "            false_edges.add((head, tail))    \n",
        "    false_edges = sorted(false_edges)\n",
        "    \n",
        "    return false_edges"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5t0g-zyP1OV"
      },
      "source": [
        "mention_emb_matrix = [([float(ele) for ele in mention_emb.loc[i][\"embedding\"][1:-1].split(\", \")]) for i in range(len(mention_emb))]\n",
        "mention_emb[\"embedding\"] = mention_emb_matrix"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C27ahxg6jD-j",
        "outputId": "55277a42-df6c-4993-febd-370633e16c86"
      },
      "source": [
        "emb = list()\n",
        "for i in range(1, 769):\n",
        "    emb.append(\"embedding \" + str(i))\n",
        "list(bert_emb.iloc[0][emb])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "6NiqUlyNkcfM",
        "outputId": "10c511a4-1026-43d0-e89d-42cf128b2bdf"
      },
      "source": [
        "bert_emb.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>-0.055765</td>\n",
              "      <td>0.080730</td>\n",
              "      <td>0.092065</td>\n",
              "      <td>0.004299</td>\n",
              "      <td>0.393290</td>\n",
              "      <td>-0.116467</td>\n",
              "      <td>-0.244011</td>\n",
              "      <td>-0.164421</td>\n",
              "      <td>-0.304985</td>\n",
              "      <td>-0.040195</td>\n",
              "      <td>0.397153</td>\n",
              "      <td>0.089950</td>\n",
              "      <td>-0.032536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>0Gf1lCKkKy0ucqy</td>\n",
              "      <td>4</td>\n",
              "      <td>11.130979</td>\n",
              "      <td>-17.862398</td>\n",
              "      <td>-0.293506</td>\n",
              "      <td>-0.201247</td>\n",
              "      <td>0.238742</td>\n",
              "      <td>-0.157744</td>\n",
              "      <td>0.170411</td>\n",
              "      <td>-0.530199</td>\n",
              "      <td>0.315560</td>\n",
              "      <td>0.007405</td>\n",
              "      <td>-0.026492</td>\n",
              "      <td>0.080336</td>\n",
              "      <td>0.108603</td>\n",
              "      <td>0.070049</td>\n",
              "      <td>-0.142277</td>\n",
              "      <td>0.009238</td>\n",
              "      <td>0.797891</td>\n",
              "      <td>0.259474</td>\n",
              "      <td>0.289475</td>\n",
              "      <td>0.039171</td>\n",
              "      <td>0.299561</td>\n",
              "      <td>0.386308</td>\n",
              "      <td>-0.442656</td>\n",
              "      <td>-0.049585</td>\n",
              "      <td>0.113164</td>\n",
              "      <td>-0.168908</td>\n",
              "      <td>0.359258</td>\n",
              "      <td>-0.087177</td>\n",
              "      <td>0.208249</td>\n",
              "      <td>-0.501471</td>\n",
              "      <td>0.308025</td>\n",
              "      <td>0.142336</td>\n",
              "      <td>0.211011</td>\n",
              "      <td>0.086209</td>\n",
              "      <td>-0.375515</td>\n",
              "      <td>-0.322300</td>\n",
              "      <td>0.433262</td>\n",
              "      <td>...</td>\n",
              "      <td>0.578213</td>\n",
              "      <td>0.537905</td>\n",
              "      <td>0.125788</td>\n",
              "      <td>0.248425</td>\n",
              "      <td>-0.168486</td>\n",
              "      <td>-0.160350</td>\n",
              "      <td>0.165534</td>\n",
              "      <td>0.611577</td>\n",
              "      <td>-1.103631</td>\n",
              "      <td>0.348976</td>\n",
              "      <td>-0.301460</td>\n",
              "      <td>0.119770</td>\n",
              "      <td>-0.285539</td>\n",
              "      <td>0.142894</td>\n",
              "      <td>-0.113909</td>\n",
              "      <td>0.272813</td>\n",
              "      <td>-0.276348</td>\n",
              "      <td>-0.193594</td>\n",
              "      <td>-0.230061</td>\n",
              "      <td>0.575720</td>\n",
              "      <td>-0.031104</td>\n",
              "      <td>-0.327955</td>\n",
              "      <td>-0.325217</td>\n",
              "      <td>0.377932</td>\n",
              "      <td>0.436479</td>\n",
              "      <td>0.588644</td>\n",
              "      <td>-0.556357</td>\n",
              "      <td>-0.014283</td>\n",
              "      <td>-0.763506</td>\n",
              "      <td>0.011113</td>\n",
              "      <td>0.066450</td>\n",
              "      <td>0.762522</td>\n",
              "      <td>-0.106123</td>\n",
              "      <td>-0.150537</td>\n",
              "      <td>-0.204549</td>\n",
              "      <td>-0.359009</td>\n",
              "      <td>0.231504</td>\n",
              "      <td>0.485965</td>\n",
              "      <td>0.205181</td>\n",
              "      <td>-0.027979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13</td>\n",
              "      <td>0noora8</td>\n",
              "      <td>4</td>\n",
              "      <td>11.105285</td>\n",
              "      <td>-17.278978</td>\n",
              "      <td>-0.293506</td>\n",
              "      <td>-0.201247</td>\n",
              "      <td>0.238742</td>\n",
              "      <td>-0.157744</td>\n",
              "      <td>0.170411</td>\n",
              "      <td>-0.530199</td>\n",
              "      <td>0.315560</td>\n",
              "      <td>0.007405</td>\n",
              "      <td>-0.026492</td>\n",
              "      <td>0.080336</td>\n",
              "      <td>0.108603</td>\n",
              "      <td>0.070049</td>\n",
              "      <td>-0.142277</td>\n",
              "      <td>0.009238</td>\n",
              "      <td>0.797891</td>\n",
              "      <td>0.259474</td>\n",
              "      <td>0.289475</td>\n",
              "      <td>0.039171</td>\n",
              "      <td>0.299561</td>\n",
              "      <td>0.386308</td>\n",
              "      <td>-0.442656</td>\n",
              "      <td>-0.049585</td>\n",
              "      <td>0.113164</td>\n",
              "      <td>-0.168908</td>\n",
              "      <td>0.359258</td>\n",
              "      <td>-0.087177</td>\n",
              "      <td>0.208249</td>\n",
              "      <td>-0.501471</td>\n",
              "      <td>0.308025</td>\n",
              "      <td>0.142336</td>\n",
              "      <td>0.211011</td>\n",
              "      <td>0.086209</td>\n",
              "      <td>-0.375515</td>\n",
              "      <td>-0.322300</td>\n",
              "      <td>0.433262</td>\n",
              "      <td>...</td>\n",
              "      <td>0.578213</td>\n",
              "      <td>0.537905</td>\n",
              "      <td>0.125788</td>\n",
              "      <td>0.248425</td>\n",
              "      <td>-0.168486</td>\n",
              "      <td>-0.160350</td>\n",
              "      <td>0.165534</td>\n",
              "      <td>0.611577</td>\n",
              "      <td>-1.103631</td>\n",
              "      <td>0.348976</td>\n",
              "      <td>-0.301460</td>\n",
              "      <td>0.119770</td>\n",
              "      <td>-0.285539</td>\n",
              "      <td>0.142894</td>\n",
              "      <td>-0.113909</td>\n",
              "      <td>0.272813</td>\n",
              "      <td>-0.276348</td>\n",
              "      <td>-0.193594</td>\n",
              "      <td>-0.230061</td>\n",
              "      <td>0.575720</td>\n",
              "      <td>-0.031104</td>\n",
              "      <td>-0.327955</td>\n",
              "      <td>-0.325217</td>\n",
              "      <td>0.377932</td>\n",
              "      <td>0.436479</td>\n",
              "      <td>0.588644</td>\n",
              "      <td>-0.556357</td>\n",
              "      <td>-0.014283</td>\n",
              "      <td>-0.763506</td>\n",
              "      <td>0.011113</td>\n",
              "      <td>0.066450</td>\n",
              "      <td>0.762522</td>\n",
              "      <td>-0.106123</td>\n",
              "      <td>-0.150537</td>\n",
              "      <td>-0.204549</td>\n",
              "      <td>-0.359009</td>\n",
              "      <td>0.231504</td>\n",
              "      <td>0.485965</td>\n",
              "      <td>0.205181</td>\n",
              "      <td>-0.027979</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>17</td>\n",
              "      <td>000stand</td>\n",
              "      <td>0</td>\n",
              "      <td>1.213230</td>\n",
              "      <td>5.153469</td>\n",
              "      <td>0.126828</td>\n",
              "      <td>0.094969</td>\n",
              "      <td>-0.289889</td>\n",
              "      <td>0.299428</td>\n",
              "      <td>0.475988</td>\n",
              "      <td>-0.195353</td>\n",
              "      <td>-0.293491</td>\n",
              "      <td>-0.697884</td>\n",
              "      <td>-0.127930</td>\n",
              "      <td>-0.612434</td>\n",
              "      <td>-0.064261</td>\n",
              "      <td>0.370065</td>\n",
              "      <td>0.277717</td>\n",
              "      <td>-0.186222</td>\n",
              "      <td>0.498363</td>\n",
              "      <td>0.113748</td>\n",
              "      <td>0.364222</td>\n",
              "      <td>-0.187425</td>\n",
              "      <td>0.581699</td>\n",
              "      <td>-0.160406</td>\n",
              "      <td>0.020959</td>\n",
              "      <td>-0.284620</td>\n",
              "      <td>0.143584</td>\n",
              "      <td>-0.070602</td>\n",
              "      <td>0.932336</td>\n",
              "      <td>-0.228586</td>\n",
              "      <td>0.524621</td>\n",
              "      <td>-0.120083</td>\n",
              "      <td>0.159690</td>\n",
              "      <td>-0.114660</td>\n",
              "      <td>-0.232879</td>\n",
              "      <td>-0.624513</td>\n",
              "      <td>-0.045615</td>\n",
              "      <td>-1.084950</td>\n",
              "      <td>-0.084786</td>\n",
              "      <td>...</td>\n",
              "      <td>0.118345</td>\n",
              "      <td>0.259728</td>\n",
              "      <td>0.012495</td>\n",
              "      <td>0.743639</td>\n",
              "      <td>-0.056800</td>\n",
              "      <td>-0.403897</td>\n",
              "      <td>0.362922</td>\n",
              "      <td>0.188703</td>\n",
              "      <td>-0.179404</td>\n",
              "      <td>-0.161997</td>\n",
              "      <td>-0.418444</td>\n",
              "      <td>-0.222885</td>\n",
              "      <td>-0.161729</td>\n",
              "      <td>0.456771</td>\n",
              "      <td>0.075012</td>\n",
              "      <td>0.300921</td>\n",
              "      <td>-0.507777</td>\n",
              "      <td>-0.251069</td>\n",
              "      <td>0.610565</td>\n",
              "      <td>0.083626</td>\n",
              "      <td>0.172967</td>\n",
              "      <td>0.410270</td>\n",
              "      <td>-0.530866</td>\n",
              "      <td>0.312800</td>\n",
              "      <td>0.311509</td>\n",
              "      <td>-0.035222</td>\n",
              "      <td>-0.503706</td>\n",
              "      <td>0.485101</td>\n",
              "      <td>-0.029104</td>\n",
              "      <td>0.002493</td>\n",
              "      <td>0.606663</td>\n",
              "      <td>0.067936</td>\n",
              "      <td>-0.362336</td>\n",
              "      <td>0.033948</td>\n",
              "      <td>-0.209186</td>\n",
              "      <td>0.017035</td>\n",
              "      <td>-0.214882</td>\n",
              "      <td>0.530015</td>\n",
              "      <td>0.032306</td>\n",
              "      <td>-0.430052</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>19</td>\n",
              "      <td>0xdemosthenes</td>\n",
              "      <td>1</td>\n",
              "      <td>12.858609</td>\n",
              "      <td>-8.344820</td>\n",
              "      <td>-0.121338</td>\n",
              "      <td>0.053995</td>\n",
              "      <td>0.608423</td>\n",
              "      <td>0.029610</td>\n",
              "      <td>0.187128</td>\n",
              "      <td>-0.446497</td>\n",
              "      <td>0.212187</td>\n",
              "      <td>-0.153630</td>\n",
              "      <td>-0.306465</td>\n",
              "      <td>-0.010644</td>\n",
              "      <td>0.223126</td>\n",
              "      <td>-0.090638</td>\n",
              "      <td>-0.407864</td>\n",
              "      <td>0.167607</td>\n",
              "      <td>0.249203</td>\n",
              "      <td>-0.297819</td>\n",
              "      <td>0.066435</td>\n",
              "      <td>0.351566</td>\n",
              "      <td>0.260868</td>\n",
              "      <td>0.275106</td>\n",
              "      <td>0.155077</td>\n",
              "      <td>0.107344</td>\n",
              "      <td>0.160818</td>\n",
              "      <td>0.299955</td>\n",
              "      <td>0.272274</td>\n",
              "      <td>0.518553</td>\n",
              "      <td>-0.001089</td>\n",
              "      <td>-0.246364</td>\n",
              "      <td>-0.023430</td>\n",
              "      <td>0.461881</td>\n",
              "      <td>-0.149352</td>\n",
              "      <td>-0.407443</td>\n",
              "      <td>0.282836</td>\n",
              "      <td>0.001115</td>\n",
              "      <td>0.288490</td>\n",
              "      <td>...</td>\n",
              "      <td>0.535485</td>\n",
              "      <td>0.316534</td>\n",
              "      <td>0.371341</td>\n",
              "      <td>-0.736856</td>\n",
              "      <td>-0.081029</td>\n",
              "      <td>0.114843</td>\n",
              "      <td>0.284457</td>\n",
              "      <td>0.235389</td>\n",
              "      <td>-0.726990</td>\n",
              "      <td>-0.066518</td>\n",
              "      <td>0.239916</td>\n",
              "      <td>-0.188375</td>\n",
              "      <td>-0.587729</td>\n",
              "      <td>0.497567</td>\n",
              "      <td>-0.037388</td>\n",
              "      <td>-0.085871</td>\n",
              "      <td>-0.566757</td>\n",
              "      <td>-0.093205</td>\n",
              "      <td>-0.366787</td>\n",
              "      <td>0.696264</td>\n",
              "      <td>-0.307472</td>\n",
              "      <td>0.335420</td>\n",
              "      <td>0.129329</td>\n",
              "      <td>0.228036</td>\n",
              "      <td>0.682674</td>\n",
              "      <td>0.452239</td>\n",
              "      <td>-0.162257</td>\n",
              "      <td>-0.055765</td>\n",
              "      <td>0.080730</td>\n",
              "      <td>0.092065</td>\n",
              "      <td>0.004299</td>\n",
              "      <td>0.393290</td>\n",
              "      <td>-0.116467</td>\n",
              "      <td>-0.244011</td>\n",
              "      <td>-0.164421</td>\n",
              "      <td>-0.304985</td>\n",
              "      <td>-0.040195</td>\n",
              "      <td>0.397153</td>\n",
              "      <td>0.089950</td>\n",
              "      <td>-0.032536</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 773 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   index             node  cluster  ...  embedding 766  embedding 767  embedding 768\n",
              "0      1  0CT0BERSURPRISE        1  ...       0.397153       0.089950      -0.032536\n",
              "1      2  0Gf1lCKkKy0ucqy        4  ...       0.485965       0.205181      -0.027979\n",
              "2     13          0noora8        4  ...       0.485965       0.205181      -0.027979\n",
              "3     17         000stand        0  ...       0.530015       0.032306      -0.430052\n",
              "4     19    0xdemosthenes        1  ...       0.397153       0.089950      -0.032536\n",
              "\n",
              "[5 rows x 773 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0GDfy6h8jpLy"
      },
      "source": [
        "emb_matrix = [list(mention_emb[mention_emb[\"node\"] == n][\"embedding\"])[0] + bert_emb[bert_emb[\"node\"] == n][emb].values.tolist()[0] for n in nodes]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mfy_Sbmhli9D",
        "outputId": "84047b2f-1ab6-4776-cd5e-e23ffc043e81"
      },
      "source": [
        "emb_matrix = np.vstack(emb_matrix)\n",
        "emb_matrix.shape, emb_matrix.dtype"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((16195, 968), dtype('float64'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qsh-Wx6Pl-db",
        "outputId": "f7f3e73e-55e5-45b5-f0c1-001781da7b49"
      },
      "source": [
        "for n in nodes:\n",
        "    print(n)\n",
        "    break"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "RussTidwell\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e2im5eQAIxbD",
        "outputId": "5d11ebc7-fa7e-4544-818b-33a82d9deaa6"
      },
      "source": [
        "user_id = dict(zip(nodes, range(len(nodes))))\n",
        "user_id"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'RussTidwell': 0,\n",
              " 'acnewsitics': 1,\n",
              " 'dire_donald': 2,\n",
              " 'PeterHotez': 3,\n",
              " 'grassvalleylarr': 4,\n",
              " 'davokafor': 5,\n",
              " 'Sani_abdul': 6,\n",
              " 'MisteralwaysDH': 7,\n",
              " 'jornalistavitor': 8,\n",
              " 'Petteri53989165': 9,\n",
              " 'JoanPennnative': 10,\n",
              " 'debilu2': 11,\n",
              " 'Deletmen': 12,\n",
              " 'CoronaUpdateBot': 13,\n",
              " 'viralvideovlogs': 14,\n",
              " 'atla_fan': 15,\n",
              " 'Teram323Tere': 16,\n",
              " 'MattMurph24': 17,\n",
              " 'missb62': 18,\n",
              " 'lowellbellew': 19,\n",
              " 'tedlieu': 20,\n",
              " 'ErinaK19': 21,\n",
              " 'GIFFCloud': 22,\n",
              " 'RexannaKeats': 23,\n",
              " 'rnklssn': 24,\n",
              " 'heyjudymodesta': 25,\n",
              " 'Mjames21Pete': 26,\n",
              " 'PartyphonesThe': 27,\n",
              " 'pescara121': 28,\n",
              " 'y_kitman': 29,\n",
              " 'rigboss': 30,\n",
              " 'viriyabot': 31,\n",
              " '86GOPFascism': 32,\n",
              " 'ana_scmum': 33,\n",
              " 'PonytaEle': 34,\n",
              " 'vmrwanda': 35,\n",
              " 'viccan1': 36,\n",
              " 'GiannaJax': 37,\n",
              " 'GameHea58461068': 38,\n",
              " '92ZId3wUSDVueke': 39,\n",
              " 'nanmac321': 40,\n",
              " 'janzentina': 41,\n",
              " 'nohope2017': 42,\n",
              " 'JenniferRidgway': 43,\n",
              " 'SkyNews': 44,\n",
              " 'DarkKnight0907': 45,\n",
              " 'AngelaBodden56': 46,\n",
              " '_LizToday': 47,\n",
              " 'Ronilj261': 48,\n",
              " 'projectrem': 49,\n",
              " 'ramboisinjured': 50,\n",
              " 'JoeC1776': 51,\n",
              " 'cpa_breda': 52,\n",
              " 'MarciS94518': 53,\n",
              " 'BehaniPragati': 54,\n",
              " 'ValValma000': 55,\n",
              " 'bruce_stauffer': 56,\n",
              " 'JONWBRID': 57,\n",
              " 'TrevorKeeler': 58,\n",
              " 'hannephoto': 59,\n",
              " 'alafuetta': 60,\n",
              " 'jennyrachelpal': 61,\n",
              " 'dhallanderson': 62,\n",
              " '5141quid': 63,\n",
              " 'otgonbat_sh': 64,\n",
              " 'jlseig': 65,\n",
              " 'marwillmor': 66,\n",
              " 'pauldavis1958': 67,\n",
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              " 'Nancy77035192': 625,\n",
              " 'BlackSherrybl': 626,\n",
              " 'PaoloTroia1986': 627,\n",
              " 'PamelaStovall6': 628,\n",
              " 'SirHugoagogo': 629,\n",
              " 'jimmychuckP': 630,\n",
              " 'frodo19v': 631,\n",
              " 'kimoeljack24': 632,\n",
              " 'Mike_deSo': 633,\n",
              " 'MarcosManeki': 634,\n",
              " 'WanderingStrngr': 635,\n",
              " 'raddpartydad': 636,\n",
              " 'forcebewithyou1': 637,\n",
              " 'badpayne19501': 638,\n",
              " 'jedimasterdaisy': 639,\n",
              " 'CharisHamilton8': 640,\n",
              " 'karenspurlock8': 641,\n",
              " 'sharongoldman': 642,\n",
              " 'chicagodavid': 643,\n",
              " 'tonyrennerart': 644,\n",
              " 'IFollowARhythm': 645,\n",
              " 'thelittlelotus': 646,\n",
              " 'Lucas_Neves_81': 647,\n",
              " 'dreamtomeboy': 648,\n",
              " 'awesome_malcolm': 649,\n",
              " 'Geohuffdc': 650,\n",
              " 'paul_m_john': 651,\n",
              " 'CrapanzanoRobin': 652,\n",
              " 'richob72': 653,\n",
              " 'johwilcha': 654,\n",
              " 'VimLab': 655,\n",
              " 'RafaelAnchia': 656,\n",
              " 'CJBlackwood2': 657,\n",
              " 'sandysva': 658,\n",
              " 'JacobHernandezz': 659,\n",
              " 'captaincurt81': 660,\n",
              " 'WMFawn': 661,\n",
              " 'mcsharma_25': 662,\n",
              " 'Sweet_Baby_Jame': 663,\n",
              " 'DebbieRhoden57': 664,\n",
              " 'Pandastamper': 665,\n",
              " 'luichon_101499': 666,\n",
              " 'jlawdrummer': 667,\n",
              " 'Winchester_Musk': 668,\n",
              " 'IthilebuRobert': 669,\n",
              " 'ROSMAMAC': 670,\n",
              " 'juliesauls901': 671,\n",
              " 'canyonmoon_h': 672,\n",
              " 'old_timm': 673,\n",
              " 'azwildcatsfan': 674,\n",
              " 'nicharcourt': 675,\n",
              " 'vegalitarian269': 676,\n",
              " 'odeexchris': 677,\n",
              " 'mhmhart': 678,\n",
              " 'DrSimonAshworth': 679,\n",
              " 'DonaldMccalment': 680,\n",
              " 'Gast5502': 681,\n",
              " 'doccandidate': 682,\n",
              " 'genah': 683,\n",
              " 'LoelleF': 684,\n",
              " 'friendsfreak15': 685,\n",
              " 'BarbaraBarrelli': 686,\n",
              " 'TheeAdele': 687,\n",
              " 'rutiteitel': 688,\n",
              " 'AnnaStr02449377': 689,\n",
              " 'PatsyJa26446841': 690,\n",
              " 'SD981': 691,\n",
              " 'Abrantier_': 692,\n",
              " 'MobackB': 693,\n",
              " 'johnpau03593129': 694,\n",
              " 'jonsmiths077': 695,\n",
              " 'strongrrl': 696,\n",
              " 'richardupuy': 697,\n",
              " 'Rokingm': 698,\n",
              " 'hatIyn': 699,\n",
              " 'maIiataylor': 700,\n",
              " 'Gigio0001': 701,\n",
              " 'Lynnie6261': 702,\n",
              " 'kstjarre': 703,\n",
              " 'Roshambo_News': 704,\n",
              " 'RosaMar26255336': 705,\n",
              " 'kdan254': 706,\n",
              " 'CScholten1': 707,\n",
              " 'MeandMamala': 708,\n",
              " 'myshipsaredead': 709,\n",
              " 'Phoenixfire732': 710,\n",
              " 'Trent_Frazier': 711,\n",
              " 'PedroJenner_': 712,\n",
              " 'TamaraSchwedhe1': 713,\n",
              " 'jayoung1892': 714,\n",
              " 'sarahlovesliam_': 715,\n",
              " 'Suzanne76688903': 716,\n",
              " 'Georgia70190490': 717,\n",
              " 'KellyHousehold2': 718,\n",
              " 'martinfiera': 719,\n",
              " 'BonnieSchumm': 720,\n",
              " 'upmost143': 721,\n",
              " 'animefanatic781': 722,\n",
              " 'BuckaRubby': 723,\n",
              " 'wanderlusterHD': 724,\n",
              " 'GANIDIPO': 725,\n",
              " 'joetetzlaff': 726,\n",
              " 'nolakat8': 727,\n",
              " 'DreNav': 728,\n",
              " 'byer_liz': 729,\n",
              " 'CarlaDiggsSmith': 730,\n",
              " 'dg33': 731,\n",
              " 'joseal_69': 732,\n",
              " 'momentumtrader9': 733,\n",
              " 'CrummyDogLover': 734,\n",
              " 'always92234822': 735,\n",
              " 'benjjedi': 736,\n",
              " 'quinn__robinson': 737,\n",
              " 'DeanWisconsin': 738,\n",
              " 'SeanWagnor': 739,\n",
              " 'kwiedoff': 740,\n",
              " 'daffodil139': 741,\n",
              " '32624': 742,\n",
              " 'seve_morse': 743,\n",
              " 'Steffes': 744,\n",
              " 'rosieglow2010': 745,\n",
              " 'Prest0CO': 746,\n",
              " 'DeafAngelboy23': 747,\n",
              " 'beckyjo84403201': 748,\n",
              " 'BeanoWild': 749,\n",
              " 'FSUNOLES1': 750,\n",
              " 'cindyt47': 751,\n",
              " 'enzoro53': 752,\n",
              " 'sweetvixenellie': 753,\n",
              " 'JohnMComedy': 754,\n",
              " 'Drt_cb': 755,\n",
              " 'JosephAMozynski': 756,\n",
              " 'jasperlest': 757,\n",
              " 'electronicmarc': 758,\n",
              " 'VirginiaRon3': 759,\n",
              " 'Joestar_LV': 760,\n",
              " 'DrKikiG': 761,\n",
              " 'frosty3737': 762,\n",
              " 'NellB10522733': 763,\n",
              " 'GirlNThe_Moon': 764,\n",
              " 'Fisydam': 765,\n",
              " 'profkc': 766,\n",
              " 'JoanMWallis1': 767,\n",
              " 'StacyRichards10': 768,\n",
              " 'jesuslopezabog': 769,\n",
              " 'MidwestSports10': 770,\n",
              " 'whoopbullhop': 771,\n",
              " 'LibbyMae14': 772,\n",
              " 'robininny': 773,\n",
              " 'udfny': 774,\n",
              " 'franko4u': 775,\n",
              " 'angstlos8': 776,\n",
              " 'trulyariana': 777,\n",
              " 'fleeson713': 778,\n",
              " 'SuperAgent303': 779,\n",
              " 'moody2020fl': 780,\n",
              " 'LoriWeathers6': 781,\n",
              " 'Hashtag_Paris': 782,\n",
              " 'CNHarder': 783,\n",
              " 'DoctorsForBiden': 784,\n",
              " 'Rocksta57446063': 785,\n",
              " 'DizzyIzzy1021': 786,\n",
              " 'ptldmuse': 787,\n",
              " 'neelyvegaslaw': 788,\n",
              " 'wassup54099557': 789,\n",
              " 'kimijtoo': 790,\n",
              " 'newmie123': 791,\n",
              " 'mmmp55': 792,\n",
              " 'WokeAcademic': 793,\n",
              " 'BangtanGuerrero': 794,\n",
              " 'bobbrady1': 795,\n",
              " 'streamFINELINE': 796,\n",
              " 'LadyKell2': 797,\n",
              " 'AlisaJass': 798,\n",
              " 'Veroisathome': 799,\n",
              " 'ShaggyPaisley': 800,\n",
              " 'DakwaStanley': 801,\n",
              " 'Clay4949': 802,\n",
              " 'LeonelCarlosPG': 803,\n",
              " 'outrunthedevil': 804,\n",
              " 'diedrea_welch': 805,\n",
              " 'WandaPower49': 806,\n",
              " 'Crispus98259749': 807,\n",
              " 'randy_holtz': 808,\n",
              " 'Buckeye_Ry': 809,\n",
              " 'SRihae': 810,\n",
              " 'jerrie_berri': 811,\n",
              " 'PolicialCrazies': 812,\n",
              " 'ASHEFORGUCCI': 813,\n",
              " 'Morgan_Dancer': 814,\n",
              " 'drbtanner': 815,\n",
              " 'Carly91904482': 816,\n",
              " 'hwilliams0085': 817,\n",
              " 'eds_edge': 818,\n",
              " 'MsByebye45': 819,\n",
              " 'jimharrison00': 820,\n",
              " 'EngineerPapi69': 821,\n",
              " 'aapsur': 822,\n",
              " 'walvr82': 823,\n",
              " '_lexiLOKO': 824,\n",
              " 'FranRN': 825,\n",
              " 'DropTheBaise': 826,\n",
              " 'BaszkoM': 827,\n",
              " 'ChrisAlex13927': 828,\n",
              " 'DawnCassidy15': 829,\n",
              " 'DAWN64243751': 830,\n",
              " 'dan_vike': 831,\n",
              " 'KORTNEY_FOXX': 832,\n",
              " 'TLBasner': 833,\n",
              " 'mottonetaiman': 834,\n",
              " 'swtogirl': 835,\n",
              " 'avantebullets': 836,\n",
              " 'paula_a_vergara': 837,\n",
              " 'puzzler74': 838,\n",
              " 'TheCyanPost': 839,\n",
              " 'rwrenos': 840,\n",
              " 'notComey': 841,\n",
              " 'kchessor': 842,\n",
              " 'TripleH43706271': 843,\n",
              " 'cloe053': 844,\n",
              " 'michalms01': 845,\n",
              " 'CenterLeft2020': 846,\n",
              " 'humanangel1423': 847,\n",
              " 'elpadredebolsas': 848,\n",
              " 'adragon8u': 849,\n",
              " '69Bagle': 850,\n",
              " 'youngabudhabi94': 851,\n",
              " 'kingballer_04': 852,\n",
              " 'dbearak': 853,\n",
              " 'emilyst11742580': 854,\n",
              " 'ElizabthLuther': 855,\n",
              " 'honeygraveyard': 856,\n",
              " 'KrankyKloe': 857,\n",
              " 'mstwill': 858,\n",
              " 'HanSparkle86': 859,\n",
              " 'Gotherrific': 860,\n",
              " 'IndependentPat7': 861,\n",
              " 'ann_blumenthal': 862,\n",
              " 'shoebkhan100': 863,\n",
              " 'habitstwoghosts': 864,\n",
              " 'DianeGunty': 865,\n",
              " 'anujsarda': 866,\n",
              " 'AmySeeksTruth': 867,\n",
              " 'jan_bellak': 868,\n",
              " 'TracyRefinetti': 869,\n",
              " 'JforDemocracy': 870,\n",
              " 'Sayeed28988612': 871,\n",
              " 'HelloLynne4Ever': 872,\n",
              " 'thatkidbertoo': 873,\n",
              " 'Collegekidd_17': 874,\n",
              " 'jtimz151': 875,\n",
              " 'Deke44Devra': 876,\n",
              " 'Kasty95513391': 877,\n",
              " 'lovella1975': 878,\n",
              " 'JohnnyVBoykins': 879,\n",
              " 'DrPulaski2017': 880,\n",
              " 'always_broncos': 881,\n",
              " 'MiMi___KAA': 882,\n",
              " 'Arkie200': 883,\n",
              " 'Manno_90': 884,\n",
              " 'CharMBrown4': 885,\n",
              " 'arkreader': 886,\n",
              " 're_dewine': 887,\n",
              " 'i4dzn': 888,\n",
              " 'Hart110213': 889,\n",
              " 'nik62': 890,\n",
              " 'queengoldilocks': 891,\n",
              " 'DuffnsunNancy': 892,\n",
              " 'enchantrasand': 893,\n",
              " 'JJimmbarr': 894,\n",
              " 'kbarkerb': 895,\n",
              " 'ABCDAP': 896,\n",
              " 'MaalikFalsetto': 897,\n",
              " 'hahnmd': 898,\n",
              " 'colonialcountr3': 899,\n",
              " 'deed33love': 900,\n",
              " 'kepna1': 901,\n",
              " 'kenn264': 902,\n",
              " 'ReynoldsHelenL': 903,\n",
              " 'SADIENED': 904,\n",
              " 'LakeShow_209': 905,\n",
              " 'MrsSaucedo2': 906,\n",
              " 'Jasmine_softbal': 907,\n",
              " 'JRLewisAuthor': 908,\n",
              " 'FinalGrantasy': 909,\n",
              " 'MackMaven': 910,\n",
              " 'demconnection': 911,\n",
              " 'michellekozlow': 912,\n",
              " 'godisagrande17': 913,\n",
              " 'roysheppard50': 914,\n",
              " 'counttillbiden': 915,\n",
              " 'felicgr': 916,\n",
              " 'ManiaWooden': 917,\n",
              " 'thinkkimthink': 918,\n",
              " 'arianaindie': 919,\n",
              " 'VinG44': 920,\n",
              " 'FloridaForBiden': 921,\n",
              " '2eatr2016': 922,\n",
              " 'lonelyola': 923,\n",
              " 'emmachutchinson': 924,\n",
              " '10100WBK': 925,\n",
              " 'tenbrooksusan': 926,\n",
              " 'BHanjari': 927,\n",
              " 'GarrettAllen15': 928,\n",
              " 'slyterelf': 929,\n",
              " 'bernardomsousa2': 930,\n",
              " 'TheDecade10': 931,\n",
              " 'gwslanguage': 932,\n",
              " 'KrisL1026': 933,\n",
              " 'TrottoirRadio': 934,\n",
              " 'sthur35981': 935,\n",
              " 'AlexaCLee': 936,\n",
              " 'damitall1': 937,\n",
              " 'Katieolsz': 938,\n",
              " 'FeistyBubbe': 939,\n",
              " 'nlviera': 940,\n",
              " 'ro56918675': 941,\n",
              " 'canyonmoonhbw': 942,\n",
              " 'SubScreamer': 943,\n",
              " 'Sharon07716008': 944,\n",
              " 'amace3': 945,\n",
              " 'hearourvoice4': 946,\n",
              " 'IgFran8791': 947,\n",
              " 'iluvnj1': 948,\n",
              " 'mz68804904': 949,\n",
              " 'georgeb57524198': 950,\n",
              " 'adhJoe': 951,\n",
              " 'SaraTice3': 952,\n",
              " 'andyinTOONT': 953,\n",
              " 'Shellbees7': 954,\n",
              " 'sancorn': 955,\n",
              " 'walkablock': 956,\n",
              " 'fartgender': 957,\n",
              " 'Sensibiliy': 958,\n",
              " 'breezyshade007': 959,\n",
              " 'Abhisek41008290': 960,\n",
              " 'MelodyFritchley': 961,\n",
              " 'lbritten': 962,\n",
              " 'YONGD77DRAGON': 963,\n",
              " 'ivanvillanua': 964,\n",
              " 'StaleIdeas': 965,\n",
              " 'AutonomousWolf': 966,\n",
              " 'Policialbom': 967,\n",
              " 'Katie_bg': 968,\n",
              " 'JRReynoldssame': 969,\n",
              " 'rgummere': 970,\n",
              " 'dbarabin': 971,\n",
              " 'dd1957b3f4394dc': 972,\n",
              " 'Oldbikerfirst': 973,\n",
              " 'Minimcchill': 974,\n",
              " 'Donnamusgrove1': 975,\n",
              " 'Genia2020Genia': 976,\n",
              " 'TURBULENTUKLIVE': 977,\n",
              " 'TBates314': 978,\n",
              " 'corriganmommy': 979,\n",
              " 'JamesThagana': 980,\n",
              " 'nativehumannet': 981,\n",
              " 'cardon_brian': 982,\n",
              " 'jjose050': 983,\n",
              " 'KenScribe': 984,\n",
              " 'ChaserChuks': 985,\n",
              " 'KariGF1': 986,\n",
              " 'NicholasAFuchs': 987,\n",
              " 'king_nokturnal': 988,\n",
              " 'Hhj9521': 989,\n",
              " 'anthony__macias': 990,\n",
              " 'Whitaker8564': 991,\n",
              " 'hellokitty22300': 992,\n",
              " 'WYDITS': 993,\n",
              " 'nozamatroz': 994,\n",
              " 'AllanVoorhis': 995,\n",
              " 'BogEtahathyl': 996,\n",
              " 'vankardashian_': 997,\n",
              " 'goconstance': 998,\n",
              " 'juice83272159': 999,\n",
              " ...}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0K0-b1w8sET5"
      },
      "source": [
        "def get_random_walk_edge():\n",
        "    st = time.time()\n",
        "    np.random.seed(0)\n",
        "    p=5\n",
        "    q=1\n",
        "    num_walks = 7\n",
        "    walk_length = 10\n",
        "    nodes = list(graph.nodes())\n",
        "    walks = set()\n",
        "    # generate alias nodes\n",
        "    alias_nodes = dict()\n",
        "    for node in graph.nodes():\n",
        "        alias_nodes[node] = get_alias_node(graph, node)\n",
        "    alias_edges = dict()\n",
        "    for edge in graph.edges():\n",
        "        alias_edges[edge] = get_alias_edge(graph, edge[0], edge[1], p=p, q=q)\n",
        "        alias_edges[(edge[1], edge[0])] = get_alias_edge(graph, edge[1], edge[0], p=p, q=q)\n",
        "    # generate random walks\n",
        "    for walk_iter in range(num_walks):\n",
        "        np.random.shuffle(nodes)\n",
        "        for node in nodes:\n",
        "            walk = generate_dfs_second_order_random_walk(\n",
        "                graph, alias_nodes, alias_edges, walk_length=walk_length, start_node=node\n",
        "            )\n",
        "            walks.update({(user_id[node], user_id[n]) for n in walks if n != node})\n",
        "    return list(walks)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lDptZKMdPlNz"
      },
      "source": [
        "false_edges = generate_false_edges(graph.edges, graph.number_of_edges())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E0LQFLcumVNJ",
        "outputId": "52546743-a9c1-44ed-f604-80cdf8c4d4c4"
      },
      "source": [
        "graph.number_of_nodes(), len(user_id)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(16195, 16195)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V6fn7bivKSXU",
        "outputId": "19bfc3e2-0f96-4312-b92f-38d3c32a78a7"
      },
      "source": [
        "edge_index = list()\n",
        "for edge in graph.edges:\n",
        "    edge_index.append(\n",
        "        np.array([[user_id[edge[0]]], [user_id[edge[1]]]])\n",
        "    )\n",
        "edge_index = np.hstack(edge_index)\n",
        "edge_index.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 2142)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mkCNtlCBQsv-",
        "outputId": "8886e1e4-9342-480f-c0ec-06a5ac5a8604"
      },
      "source": [
        "false_edge_index = list()\n",
        "for edge in false_edges:\n",
        "    false_edge_index.append(\n",
        "        np.array([user_id[edge[0]], user_id[edge[1]]])\n",
        "    )\n",
        "false_edge_index = np.vstack(false_edge_index)\n",
        "false_edge_index.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2142, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h2s5eiDyROmh",
        "outputId": "68e7c2f3-346b-475e-c203-9573c4659db5"
      },
      "source": [
        "edges = np.concatenate((np.transpose(edge_index), false_edge_index))\n",
        "Y = np.concatenate((np.ones(edge_index.shape[1]), np.zeros(edge_index.shape[1])))\n",
        "edges.shape, Y.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((4284, 2), (4284,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JISTp4VKSEn_",
        "outputId": "93225bca-4f39-4371-e5d9-c53aa282d066"
      },
      "source": [
        "edges, Y = shuffle(edges, Y)\n",
        "edges.shape, Y.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((4284, 2), (4284,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5-eImMDBSTQf",
        "outputId": "b29511c5-4e51-4d02-9d8e-43dbe1dc3c5b"
      },
      "source": [
        "g = tfg.Graph(emb_matrix, edge_index)\n",
        "g = g.convert_edge_to_directed()\n",
        "g.edge_index.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 4270)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KVMISr4kC9EG",
        "outputId": "f1e9d9a0-49b1-4786-c5b9-ab90dda79c7d"
      },
      "source": [
        "score = list()\n",
        "for i in range(int(Y.shape[0]/128 + 1)):\n",
        "    h = tf.nn.embedding_lookup(g.x, edges[i * 128: (i + 1) * 128])\n",
        "    h1 = tf.slice(h, [0, 0, 0], [-1, 1, -1])\n",
        "    h2 = tf.slice(h, [0, 1, 0], [-1, -1, -1])\n",
        "    h = tf.keras.layers.Dot(-1, True, name=\"Cossim\")([h1, h2])\n",
        "    h = tf.squeeze(h)\n",
        "    score.append(cosine_embedding_loss()(Y[i * 128: (i + 1) * 128], h))\n",
        "np.mean(score)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.44035506"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7YvtY5kpKnvu",
        "outputId": "ec262f1f-be19-413c-9a5d-31be4926b6f2"
      },
      "source": [
        "model = GATModel(g.edge_index, g.x, emb_size=256)\n",
        "model.compile(tf.keras.optimizers.Adam(1e-3), cosine_embedding_loss())\n",
        "model.fit(edges, Y, batch_size=128, epochs=14, validation_split=0.3)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/14\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gat_model_3/Embedding-2/concat_1/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/gat_model_3/Embedding-2/concat_1/Identity:0\", shape=(None, 256), dtype=float32), dense_shape=Tensor(\"gradient_tape/gat_model_3/Embedding-2/concat_1/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gat_model_3/Embedding-1/concat_1/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/gat_model_3/Embedding-1/concat_1/Identity:0\", shape=(None, 256), dtype=float32), dense_shape=Tensor(\"gradient_tape/gat_model_3/Embedding-1/concat_1/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "24/24 [==============================] - 4s 65ms/step - loss: 0.1915 - val_loss: 0.1309\n",
            "Epoch 2/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1342 - val_loss: 0.1252\n",
            "Epoch 3/14\n",
            "24/24 [==============================] - 1s 42ms/step - loss: 0.1258 - val_loss: 0.1235\n",
            "Epoch 4/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1210 - val_loss: 0.1232\n",
            "Epoch 5/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1183 - val_loss: 0.1216\n",
            "Epoch 6/14\n",
            "24/24 [==============================] - 1s 44ms/step - loss: 0.1166 - val_loss: 0.1226\n",
            "Epoch 7/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1152 - val_loss: 0.1215\n",
            "Epoch 8/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1118 - val_loss: 0.1199\n",
            "Epoch 9/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1115 - val_loss: 0.1208\n",
            "Epoch 10/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1108 - val_loss: 0.1227\n",
            "Epoch 11/14\n",
            "24/24 [==============================] - 1s 47ms/step - loss: 0.1101 - val_loss: 0.1229\n",
            "Epoch 12/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1089 - val_loss: 0.1214\n",
            "Epoch 13/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1079 - val_loss: 0.1211\n",
            "Epoch 14/14\n",
            "24/24 [==============================] - 1s 43ms/step - loss: 0.1076 - val_loss: 0.1215\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f9deefcf790>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dwTuXBlw67Z9",
        "outputId": "347ec78e-49bd-41ec-b49b-88a760b32e0e"
      },
      "source": [
        "model1 = GCNModel(g.edge_index, g.x, emb_size=256)\n",
        "model1.compile(tf.keras.optimizers.Adam(5e-4), cosine_embedding_loss())\n",
        "model1.fit(edges, Y, batch_size=128, epochs=18, validation_split=0.3)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/18\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/embedding_lookup/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/embedding_lookup/Reshape:0\", shape=(None, 256), dtype=float32), dense_shape=Tensor(\"gradient_tape/embedding_lookup/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/Embedding-2/cond/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/Embedding-2/cond/Identity:0\", shape=(None, 256), dtype=float32), dense_shape=Tensor(\"gradient_tape/Embedding-2/cond/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n",
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/indexed_slices.py:449: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/Embedding-1/cond/Identity_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/Embedding-1/cond/Identity:0\", shape=(None, 256), dtype=float32), dense_shape=Tensor(\"gradient_tape/Embedding-1/cond/Identity_2:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n",
            "  \"shape. This may consume a large amount of memory.\" % value)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "24/24 [==============================] - 3s 55ms/step - loss: 0.2027 - val_loss: 0.1323\n",
            "Epoch 2/18\n",
            "24/24 [==============================] - 1s 40ms/step - loss: 0.1447 - val_loss: 0.1226\n",
            "Epoch 3/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1332 - val_loss: 0.1214\n",
            "Epoch 4/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1294 - val_loss: 0.1193\n",
            "Epoch 5/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1258 - val_loss: 0.1204\n",
            "Epoch 6/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1227 - val_loss: 0.1196\n",
            "Epoch 7/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1205 - val_loss: 0.1192\n",
            "Epoch 8/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1189 - val_loss: 0.1203\n",
            "Epoch 9/18\n",
            "24/24 [==============================] - 1s 38ms/step - loss: 0.1179 - val_loss: 0.1200\n",
            "Epoch 10/18\n",
            "24/24 [==============================] - 1s 38ms/step - loss: 0.1161 - val_loss: 0.1172\n",
            "Epoch 11/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1149 - val_loss: 0.1185\n",
            "Epoch 12/18\n",
            "24/24 [==============================] - 1s 38ms/step - loss: 0.1138 - val_loss: 0.1186\n",
            "Epoch 13/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1132 - val_loss: 0.1204\n",
            "Epoch 14/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1118 - val_loss: 0.1176\n",
            "Epoch 15/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1116 - val_loss: 0.1176\n",
            "Epoch 16/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1110 - val_loss: 0.1181\n",
            "Epoch 17/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1107 - val_loss: 0.1187\n",
            "Epoch 18/18\n",
            "24/24 [==============================] - 1s 39ms/step - loss: 0.1103 - val_loss: 0.1188\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f9da24d27d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qxXyYgg1M2RY"
      },
      "source": [
        "class ModifiedGATModel(tf.keras.Model):\n",
        "\n",
        "    def __init__(self, edge_index, node_embedding=None, edge_weight=None, emb_size=768, dropout=0.3, *args, **kwargs):\n",
        "        super().__init__(*args, **kwargs)\n",
        "        self.edge_index = edge_index\n",
        "        if not tf.is_tensor(self.edge_index):\n",
        "            self.edge_index = tf.convert_to_tensor(edge_index, dtype=tf.int32)\n",
        "        self.node_embedding = node_embedding\n",
        "        if self.node_embedding is None:\n",
        "            self.node_embedding = tf.random.normal((tf.reduce_max(self.edge_index) + 1, emb_size))\n",
        "        elif not tf.is_tensor(self.node_embedding):\n",
        "            self.node_embedding = tf.convert_to_tensor(self.node_embedding, dtype=tf.float32)\n",
        "        self.edge_weight = edge_weight\n",
        "        if self.edge_weight is None:\n",
        "            self.edge_weight = tf.ones(self.edge_index.shape[1], dtype=tf.int32)\n",
        "        elif not tf.is_tensor(self.edge_weight):\n",
        "            self.edge_weight = tf.convert_to_tensor(self.edge_weight, dtype_hint=tf.int32)\n",
        "        self.gat0 = tfg.layers.GAT(emb_size, 12, name=\"Embedding-1\")\n",
        "        self.dropout1 = tf.keras.layers.Dropout(dropout, name=\"Dropout-1\")\n",
        "        self.gat1 = tfg.layers.GAT(emb_size, 12, name=\"Embedding-2\")\n",
        "        self.dropout2 = tf.keras.layers.Dropout(dropout, name=\"Dropout-2\")\n",
        "\n",
        "    def call(self, inputs, training=None, mask=None):\n",
        "        target_edges = inputs\n",
        "        h = self.dropout1(self.node_embedding, training=training)\n",
        "        h = self.gat0([h, self.edge_index, self.edge_weight])\n",
        "        h = self.dropout2(h, training=training)\n",
        "        h = self.gat1([h, self.edge_index, self.edge_weight])\n",
        "        return h"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NQtEArIETp11"
      },
      "source": [
        "class ModifiedGCNModel(tf.keras.Model):\n",
        "\n",
        "    def __init__(self, edge_index, node_embedding=None, edge_weight=None, emb_size=768, dropout=0.3, *args, **kwargs):\n",
        "        super().__init__(*args, **kwargs)\n",
        "        self.edge_index = edge_index\n",
        "        if not tf.is_tensor(self.edge_index):\n",
        "            self.edge_index = tf.convert_to_tensor(edge_index, dtype=tf.int32)\n",
        "        self.node_embedding = node_embedding\n",
        "        if self.node_embedding is None:\n",
        "            self.node_embedding = tf.random.normal((tf.reduce_max(self.edge_index) + 1, emb_size))\n",
        "        elif not tf.is_tensor(self.node_embedding):\n",
        "            self.node_embedding = tf.convert_to_tensor(self.node_embedding, dtype=tf.float32)\n",
        "        self.edge_weight = edge_weight\n",
        "        if self.edge_weight is None:\n",
        "            self.edge_weight = tf.ones(self.edge_index.shape[1], dtype=tf.float32)\n",
        "        elif not tf.is_tensor(self.edge_weight):\n",
        "            self.edge_weight = tf.convert_to_tensor(self.edge_weight, dtype_hint=tf.float32)\n",
        "        self.gcn0 = tfg.layers.GCN(emb_size, name=\"Embedding-1\")\n",
        "        self.dropout0 = tf.keras.layers.Dropout(dropout, name=\"Dropout-1\")\n",
        "        self.gcn1 = tfg.layers.GCN(emb_size, name=\"Embedding-2\")\n",
        "        self.dropout1 = tf.keras.layers.Dropout(dropout, name=\"Dropout-2\")\n",
        "\n",
        "    def __call__(self, inputs, training=None, mask=None, cache=None):\n",
        "        target_edges = inputs\n",
        "        h = self.dropout0(self.node_embedding, training=training)\n",
        "        h = self.gcn0([h, self.edge_index, self.edge_weight], cache=cache)\n",
        "        h = self.dropout1(h, training=training)\n",
        "        h = self.gcn1([h, self.edge_index, self.edge_weight], cache=cache)\n",
        "        return h"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WG76tOBPcUNR",
        "outputId": "6117e2ce-e25c-471a-d433-fb7d3edcbbc6"
      },
      "source": [
        "model.node_embedding"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(16195, 968), dtype=float32, numpy=\n",
              "array([[ 0.        ,  0.        ,  1.        , ...,  0.42469802,\n",
              "         0.1374114 , -0.13913251],\n",
              "       [ 0.        ,  0.        ,  1.        , ...,  0.39715323,\n",
              "         0.08995034, -0.03253558],\n",
              "       [ 1.        ,  1.        ,  0.        , ...,  0.599097  ,\n",
              "         0.02087672, -0.01890823],\n",
              "       ...,\n",
              "       [ 0.        ,  0.        ,  1.        , ...,  0.24843803,\n",
              "        -0.22389786, -0.3854317 ],\n",
              "       [ 0.        ,  0.        ,  0.        , ...,  0.64226437,\n",
              "        -0.13686202,  0.43796372],\n",
              "       [ 0.        ,  0.        ,  0.        , ...,  0.64226437,\n",
              "        -0.13686202,  0.43796372]], dtype=float32)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XI2RFUN_SFTP",
        "outputId": "28e6b51d-2dcf-4f6c-bac1-049aaa151651"
      },
      "source": [
        "modifiedGAT = ModifiedGATModel(model.edge_index, model.node_embedding, model.edge_weight, emb_size=256)\n",
        "modifiedGAT(np.array([[6, 11]]))\n",
        "modifiedGCN = ModifiedGCNModel(model1.edge_index, model1.node_embedding, model1.edge_weight, emb_size=256)\n",
        "modifiedGCN(np.array([[6, 11]]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tf.Tensor: shape=(16195, 256), dtype=float32, numpy=\n",
              "array([[ 0.2557102 , -0.17383067, -0.26007277, ...,  0.4611179 ,\n",
              "        -0.07767147, -0.25674137],\n",
              "       [-0.03440616,  0.38867268, -0.42903927, ...,  0.46709996,\n",
              "        -0.30132255,  0.00152212],\n",
              "       [ 0.35769805, -0.2071952 , -0.2053929 , ...,  0.52137035,\n",
              "        -0.28539407, -0.01635909],\n",
              "       ...,\n",
              "       [ 0.12411886, -0.10728224, -0.24789378, ...,  0.3719284 ,\n",
              "        -0.4373202 , -0.18788594],\n",
              "       [-0.2277208 , -0.01841882, -0.26114002, ...,  0.49931833,\n",
              "        -0.26628956, -0.10556044],\n",
              "       [-0.2277208 , -0.01841882, -0.26114002, ...,  0.49931833,\n",
              "        -0.26628956, -0.10556044]], dtype=float32)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aLELwnrnSnSO"
      },
      "source": [
        "modifiedGAT.set_weights(model.get_weights())\n",
        "modifiedGCN.set_weights(model1.get_weights())"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0tniLiI4MdB_"
      },
      "source": [
        "gatembbed = modifiedGAT(g.x)\n",
        "gcnembbed = modifiedGCN(g.x)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "WLcWGmEZWV6h",
        "outputId": "a50f098d-84d3-4a40-cf41-123eb09e9528"
      },
      "source": [
        "gatemb = Embedding(dict(zip(user_id.keys(), gatembbed.numpy())))\n",
        "gatemb.dimReduce()\n",
        "gatemb.cluster()\n",
        "gatemb.plot(graph)\n",
        "gcnemb = Embedding(dict(zip(user_id.keys(), gcnembbed.numpy())))\n",
        "gcnemb.dimReduce()\n",
        "gcnemb.cluster()\n",
        "gcnemb.plot(graph)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/manifold/_spectral_embedding.py:236: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.\n",
            "  warnings.warn(\"Graph is not fully connected, spectral embedding\"\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lv0S0KK5W1wE"
      },
      "source": [
        "import csv\n",
        "\n",
        "f = open('drive/MyDrive/HKUST/Comp 4641 Project/mentionBERT_vaccine_retweet_gat_result.csv', 'w')\n",
        "\n",
        "emb_dim = list()\n",
        "for i in range(256):\n",
        "    emb_dim.append('embedding ' + str(i + 1))\n",
        "\n",
        "nodes_cluster = gatemb.nodes_cluster\n",
        "nodes_pos = gatemb.nodes_pos\n",
        "embedding = gatemb.embedding\n",
        "\n",
        "writer = csv.writer(f)\n",
        "writer.writerow(['node', 'cluster', 'x', 'y'] + emb_dim)\n",
        "for key in nodes_cluster.keys():\n",
        "    wlist = [key, nodes_cluster[key]] + nodes_pos[key].tolist() + embedding[key].tolist()\n",
        "    writer.writerow(wlist)\n",
        "\n",
        "f.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BTQ6HHSTYhhy"
      },
      "source": [
        "import csv\n",
        "\n",
        "f = open('drive/MyDrive/HKUST/Comp 4641 Project/mentionBERT_vaccine_retweet_gcn_result.csv', 'w')\n",
        "\n",
        "emb_dim = list()\n",
        "for i in range(256):\n",
        "    emb_dim.append('embedding ' + str(i + 1))\n",
        "\n",
        "nodes_cluster = gcnemb.nodes_cluster\n",
        "nodes_pos = gcnemb.nodes_pos\n",
        "embedding = gcnemb.embedding\n",
        "\n",
        "writer = csv.writer(f)\n",
        "writer.writerow(['node', 'cluster', 'x', 'y'] + emb_dim)\n",
        "for key in nodes_cluster.keys():\n",
        "    wlist = [key, nodes_cluster[key]] + nodes_pos[key].tolist() + embedding[key].tolist()\n",
        "    writer.writerow(wlist)\n",
        "\n",
        "f.close()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Up8QP0pUUibN",
        "outputId": "bdb834b0-ada3-463c-b880-00a4e95b3638"
      },
      "source": [
        "graph.number_of_nodes(), len(gatemb.nodes_cluster)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2715, 2715)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "fH4Fgg0eTa6P",
        "outputId": "fc4470d5-caec-44a0-868d-853aa155c5ac"
      },
      "source": [
        "gatemb.plot(graph)\n",
        "gcnemb.plot(graph)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nD0grphGT6FZ"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}