diff --git a/Chapter05/04_Graph_Neural_Networks.ipynb b/Chapter05/04_Graph_Neural_Networks.ipynb
index 271d478..f648c56 100644
--- a/Chapter05/04_Graph_Neural_Networks.ipynb
+++ b/Chapter05/04_Graph_Neural_Networks.ipynb
@@ -20,27 +20,6 @@
     "In Chapter 1 you learned how local and global graph properties can be extracted from graphs. Those properties represent the graph itself and bring important informations which can be useful for classification."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "id": "5k3sYIRJpMgb",
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Uninstalling stellargraph-1.2.1:\r\n",
-      "  Successfully uninstalled stellargraph-1.2.1\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install stellargraph"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -921,9 +900,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#!pip install fsspec==2024.3.1 # needed for PROTEINS download torch geometric\n",
-    "#!pip install torch_geometric\n",
-    "\n",
     "import torch\n",
     "from torch_geometric.datasets import TUDataset\n",
     "from torch_geometric.data import DataLoader\n",
@@ -1031,9 +1007,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#!pip install torch==2.1.1 # needed for dgl\n",
-    "#!pip install  dgl -f https://data.dgl.ai/wheels/torch-2.1/repo.html\n",
-    "\n",
     "import dgl\n",
     "import torch\n",
     "import torch.nn.functional as F\n",
diff --git a/Chapter05/pyproject.toml b/Chapter05/pyproject.toml
index 5a3a39b..40827a3 100644
--- a/Chapter05/pyproject.toml
+++ b/Chapter05/pyproject.toml
@@ -25,7 +25,7 @@ chardet = "==5.2.0"
 torch_geometric = "^2.5.2"
 torchvision = "^0.16.0"
 torchmetrics="^1.3.0"
-# dgl = https://data.dgl.ai/wheels/torch-2.1/dgl-2.4.0-cp38-cp38-manylinux1_x86_64.whl 
+# Since 2024.06.27, DGL have stopped providing packages for Windows and MacOS. The latest version of available package is 2.2.1.
 dgl = {url = "https://data.dgl.ai/wheels/torch-2.1/dgl-2.4.0-cp38-cp38-manylinux1_x86_64.whl"}
 
 [build-system]
diff --git a/Chapter07/02_Social_network_analysis.ipynb b/Chapter07/02_Social_network_analysis.ipynb
index e346a1f..af2bb87 100644
--- a/Chapter07/02_Social_network_analysis.ipynb
+++ b/Chapter07/02_Social_network_analysis.ipynb
@@ -9,18 +9,6 @@
     "# Link prediction on social network using DGL"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "id": "xqMpPrND8SeA"
-   },
-   "outputs": [],
-   "source": [
-    "# !pip uninstall -y dgl\n",
-    "# !pip install  dgl==2.2.1 -f https://data.dgl.ai/wheels/torch-2.3/repo.html"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -478,24 +466,6 @@
     "We will now replicate the example using another popular library for graph machine learning: Pytorch Geometric"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "_Smng0hRNtbZ",
-    "outputId": "21f31f79-a12c-49b2-9212-b0a5a0d901b6"
-   },
-   "outputs": [],
-   "source": [
-    "!pip install torch_geometric\n",
-    "\n",
-    "# Optional dependencies:\n",
-    "!pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.3.0+cpu.html"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/Chapter07/pyproject.toml b/Chapter07/pyproject.toml
index ccf4220..e3cac0e 100644
--- a/Chapter07/pyproject.toml
+++ b/Chapter07/pyproject.toml
@@ -30,15 +30,14 @@ torch = "^2.1.0"
 torch_geometric = "^2.5.2"
 torchvision = "^0.16.0"
 torchmetrics="^1.3.0"
-# torch-sparse = {version = "^0.6.18", source = "torch-wheels"}
-torch-sparse = {url = "https://data.pyg.org/whl/torch-2.1.0%2Bcpu/torch_sparse-0.6.18%2Bpt21cpu-cp38-cp38-linux_x86_64.whl"}
-pyg-lib = {url = "https://data.pyg.org/whl/torch-2.1.0%2Bcpu/pyg_lib-0.4.0%2Bpt21cpu-cp38-cp38-linux_x86_64.whl"}
 python-louvain = "==0.16"
-# communities = "==2.2.0"
 nxt-gem = { git="https://github.com/palash1992/GEM.git", branch="master" }
 # This is what is holding us back to python 3.8
 stellargraph = "^1.2.1"
+# Since 2024.06.27, DGL have stopped providing packages for Windows and MacOS. The latest version of available package is 2.2.1.
 dgl = {url = "https://data.dgl.ai/wheels/torch-2.1/dgl-2.4.0-cp38-cp38-manylinux1_x86_64.whl"}
+torch-sparse = {url = "https://data.pyg.org/whl/torch-2.1.0%2Bcpu/torch_sparse-0.6.18%2Bpt21cpu-cp38-cp38-linux_x86_64.whl"}
+pyg-lib = {url = "https://data.pyg.org/whl/torch-2.1.0%2Bcpu/pyg_lib-0.4.0%2Bpt21cpu-cp38-cp38-linux_x86_64.whl"}
 
 [build-system]
 requires = ["poetry-core"]