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Copy file name to clipboardExpand all lines: notebooks/sparse/quickstart.ipynb
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{
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"cell_type": "markdown",
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"source": [
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"## Exercise"
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],
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"metadata": {
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"id": "1iBNlJVYz3zi"
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}
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},
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"cell_type": "markdown",
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"source": [
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"## Exercise \\#1\n",
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"\n",
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"*Let's test what you've learned. Feel free to [](https://colab.research.google.com/github/dmlc/dgl/blob/master/notebooks/sparse/quickstart.ipynb).*\n",
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"\n",
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"Given a sparse symmetrical adjacency matrix $A$, calculate its symmetrically normalized adjacency matrix: $$norm = \\bar{D}^{-\\frac{1}{2}}\\bar{A}\\bar{D}^{-\\frac{1}{2}}$$\n",
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"\n",
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"Where $\\bar{A} = A + I$, $I$ is the identity matrix, and $\\bar{D}$ is the diagonal node degree matrix of $\\bar{A}$."
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],
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"metadata": {
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"id": "yDQ4Kmr_08St"
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"id": "1iBNlJVYz3zi"
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}
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},
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{
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{
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"cell_type": "markdown",
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"source": [
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"## Exercise\n",
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"## Exercise\\#2\n",
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"\n",
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"Let's implement a simplified version of the Graph Attention Network (GAT) layer.\n",
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