Content Deep Dive
You Don’t Need a Crystal Ball When You Have Graph Data Science
Blog post from Neo4j
Post Details
Company
Date Published
Author
Merrilee Parsons
Word Count
256
Company Posts That Month
Language
English
Hacker News Points
-
Post removed?
No
Source URL
Summary
Graph data science is a science-driven approach to gain knowledge from the relationships and structures in data, typically to power predictions. Neo4j created the first enterprise graph framework for data scientists to improve predictions that drive better decisions and innovation by incorporating the predictive power of relationships and network structures in existing data. This approach helps answer previously intractable questions and increase prediction accuracy.
Trends Found in this Post
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 2 | 178 | 35 | 26 | +117% |
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