Ask a Data Scientist: What Are Graph Embeddings, and Why Are They Important?

"What are graph embeddings and why are they important?" This is one of the more common questions posed by graph data scientists in the field. In our Ask a Database video series, Data Science Solution Architect Katie Roberts explains that graph embeddings enable you to take the high-dimensional information that exists within your network structure and reduce that dimensionality into a format that you can use as input into other algorithms or ML models. Here from Katie about why this is important in this installment of our Ask a Data Scientist series.

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