Facebook-Friend-Recommendation-using-Graph-Mining

In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)

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24 Stars

11 Forks

24 Watchers

Jupyter Notebook Language

Cost to Build

$2.0K

Market Value

$2.5K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-07-01

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What is the krpiyush5/Facebook-Friend-Recommendation-using-Graph-Mining GitHub project? Description: "In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Facebook-Friend-Recommendation-using-Graph-Mining

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git clone https://github.com/krpiyush5/Facebook-Friend-Recommendation-using-Graph-Mining.git

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[email protected]:krpiyush5/Facebook-Friend-Recommendation-using-Graph-Mining.git

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Download master.zip

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