Added installation commands

Author: GabrieleSantin

Tutorial1/Tutorial1.ipynb

@@ -1,5 +1,16 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install torch-scatter -f https://data.pyg.org/whl/torch-1.9.0+cu111.html\n",
+    "!pip install torch-sparse -f https://data.pyg.org/whl/torch-1.9.0+cu111.html\n",
+    "!pip install torch-geometric"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

Tutorial11/Tutorial11.ipynb

@@ -2,7 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install torch-scatter -f https://data.pyg.org/whl/torch-1.9.0+cu111.html\n",
+    "!pip install torch-sparse -f https://data.pyg.org/whl/torch-1.9.0+cu111.html\n",
+    "!pip install torch-geometric"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,17 +53,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Data(edge_index=[2, 10556], test_mask=[2708], train_mask=[2708], val_mask=[2708], x=[2708, 1433], y=[2708])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# load the Cora dataset\n",
     "dataset = 'Cora'\n",
@@ -64,17 +67,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Data(test_neg_edge_index=[2, 527], test_pos_edge_index=[2, 527], train_neg_adj_mask=[2708, 2708], train_pos_edge_index=[2, 8976], val_neg_edge_index=[2, 263], val_pos_edge_index=[2, 263], x=[2708, 1433])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# use train_test_split_edges to create neg and positive edges\n",
     "data.train_mask = data.val_mask = data.test_mask = data.y = None\n",
@@ -98,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -143,7 +138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -199,26 +194,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 010, Loss: 0.6837, Val: 0.7552, Test: 0.7562\n",
-      "Epoch: 020, Loss: 0.6423, Val: 0.7552, Test: 0.7562\n",
-      "Epoch: 030, Loss: 0.5490, Val: 0.7935, Test: 0.8021\n",
-      "Epoch: 040, Loss: 0.5108, Val: 0.8210, Test: 0.8486\n",
-      "Epoch: 050, Loss: 0.4894, Val: 0.8455, Test: 0.8712\n",
-      "Epoch: 060, Loss: 0.4656, Val: 0.8637, Test: 0.8966\n",
-      "Epoch: 070, Loss: 0.4585, Val: 0.8808, Test: 0.9000\n",
-      "Epoch: 080, Loss: 0.4518, Val: 0.8864, Test: 0.9084\n",
-      "Epoch: 090, Loss: 0.4458, Val: 0.8905, Test: 0.9093\n",
-      "Epoch: 100, Loss: 0.4501, Val: 0.8920, Test: 0.9111\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\n",
     "best_val_perf = test_perf = 0\n",
@@ -243,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -282,7 +260,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,