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udlbook
2024-02-06 18:45:05 -05:00
parent 07bcc98a85
commit f2a3fab832
1 changed files with 5 additions and 5 deletions
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10
Notebooks/Chap13/13_4_Graph_Attention_Networks.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyOdSkjfQnSZXnffGsZVM7r5", "authorship_tag": "ABX9TyO/wJ4N9w01f04mmrs/ZSHY",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -185,10 +185,10 @@
"np.set_printoptions(precision=3)\n", "np.set_printoptions(precision=3)\n",
"output = graph_attention(X, omega, beta, phi, A);\n", "output = graph_attention(X, omega, beta, phi, A);\n",
"print(\"Correct answer is:\")\n", "print(\"Correct answer is:\")\n",
"print(\"[[1.796 1.346 0.569 1.703 1.298 1.224 1.24 1.234]\")\n", "print(\"[[0. 0.028 0.37 0. 0.97 0. 0. 0.698]\")\n",
"print(\" [0.768 0.672 0. 0.529 3.841 4.749 5.376 4.761]\")\n", "print(\" [0. 0. 0. 0. 1.184 0. 2.654 0. ]\")\n",
"print(\" [0.305 0.129 0. 0.341 0.785 1.014 1.113 1.024]\")\n", "print(\" [1.13 0.564 0. 1.298 0.268 0. 0. 0.779]\")\n",
"print(\" [0. 0. 0. 0. 0.35 0.864 1.098 0.871]]]\")\n", "print(\" [0.825 0. 0. 1.175 0. 0. 0. 0. ]]]\")\n",
"\n", "\n",
"\n", "\n",
"print(\"Your answer is:\")\n", "print(\"Your answer is:\")\n",