Supervised_Link_Prediction_Using_Spark_and_Neo4j
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
