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doc/modules/ROOT/pages/tutorials/fastrp-and-knn.adoc

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@@ -245,6 +245,10 @@ print(f"Nodes compared: {result['nodesCompared']}")
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print(f"Mean similarity: {result['similarityDistribution']['mean']}")
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<_io.TextIOWrapper name='examples/test.txt' mode='r' encoding='UTF-8'>
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As we can see the mean similarity between nodes is quite high. This is
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due to the fact that we have a small example where there are no long
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paths between nodes leading to many similar FastRP node embeddings.

examples/fastrp-and-knn.ipynb

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"cell_type": "code",
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"execution_count": null,
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"id": "9b132f95",
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"metadata": {},
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"metadata": {
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"tags": [
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"replace-output-with:test.txt"
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]
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},
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"outputs": [],
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"source": [
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"# Run kNN and write back to db (we skip memory estimation this time...)\n",

examples/test.txt

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ABCDE

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