Supervised_Link_Prediction_Using_Spark_and_Neo4j
surajsrivathsa
A project which involves analysis of Authorship graph data from Microsoft academic graph. In this project we calculate different graph features using temporal parameters of the authors and tried different classifiers. The final aim is to predict the link or coauthorsip possibility between two authors based on topological graph features and also find out the feasibility of performing this task on Neo4j and Spark
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8 data points · 2021-08-01 → 2026-04-01How do you feel about this project?
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Question copied to clipboardWhat is the surajsrivathsa/Supervised_Link_Prediction_Using_Spark_and_Neo4j GitHub project? Description: "A project which involves analysis of Authorship graph data from Microsoft academic graph. In this project we calculate different graph features using temporal parameters of the authors and tried different classifiers. The final aim is to predict the link or coauthorsip possibility between two authors based on topological graph features and also find out the feasibility of performing this task on Neo4j and Spark". Written in Scala. Explain what it does, its main use cases, key features, and who would benefit from using it.
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