Build a similarity graph with Neo4j

  • Length: 27 min
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Chapters 6

  1. Play from Introduction and Neo4j sandbox setup
  2. Play from Loading data and doing exploratory data analysis
  3. Play from Calculating similarity
  4. Play from Visualizing similarity in Bloom
  5. Play from Detecting clusters with Louvain community detection algorithm
  6. Play from Visualizing clusters in Bloom

Use the Neo4j graph data science library to create a similarity graph based on node properties, even with no relationships present in the data model. Use the graph to create explainable clusters. Explore the results with Bloom graph visualization.

Graph Data ScienceVisualizationData modeling & import

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