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12 changes: 6 additions & 6 deletions integrations/neo4j/1_feature_pipeline.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### 📝 Import librararies "
"### 📝 Import libraries "
]
},
{
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"source": [
"URI = \"bolt://localhost:7687\"\n",
"AUTH = (\"neo4j\", \"changeme\")\n",
"DATABASE = \"testdb\""
"DATABASE = \"graphembeddingsdemo\""
]
},
{
Expand All @@ -109,7 +109,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Then we do the first import of the first .csv file, holding the (:Party) nodes. This will finish very quickly, as there are only 7-8k nodes."
"Then we do the first import of the first .csv file, holding the `(:Party)` nodes. This will finish very quickly, as there are only 7-8k nodes."
]
},
{
Expand All @@ -131,7 +131,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will import the relationshops. There are approx 430k [:TRANSACTION] relationships, and importing these will take a few minutes."
"Next we will import the relationshops. There are approx 430k `[:TRANSACTION]` relationships, and importing these will take a few minutes."
]
},
{
Expand Down Expand Up @@ -226,7 +226,7 @@
"source": [
"## <span style=\"color:#ff5f27;\"> 🛠️ Feature Engineering </span>\n",
"## Calculating the node embeddings in Neo4j\n",
"For each month of transactions, compute and store embeddings using the `node2vec` library. This uses the GDS library of Neo4j, which [needs to be installed](https://neo4j.com/docs/graph-data-science/current/installation/) on the Neo4j server."
"For each month of transactions, compute and store embeddings using the `node2vec` algorithm. This uses the GDS library of Neo4j, which [needs to be installed](https://neo4j.com/docs/graph-data-science/current/installation/) on the Neo4j server."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.8.18"
}
},
"nbformat": 4,
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