PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
[Algorithms '19] Official code for the paper "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.
Collection of Databricks and Jupyter Notebooks
Old repo for R interface for GraphFrames
Analysis of Etherum contracts, transactions, gas, scams and scammers' graph
A Pyspark implementation of the CNGF Algorithm used for Link Prediction
Criação de Grafos com a bilbioteca GraphX do Spark e GraphFrames
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 …
Presentation about Graphframes and how we handle graphs with more than 2 billion nodes at Hybrid Theory
DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.
Spark and Anaconda in Docker
Community detection Based on Girvan-Newman Algorithm
DS104.N11 - Tính Toán Song Song & Phân Tán
Examples on using GraphFrame functionality with Spark 2.2
Data manipulation, optimal prediction with ALS and communities detection with Newman-Girvan algorithm
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Influencer detection on Twitter and real-time current trend analysis using twitter4j and Spark
Objectives: Using pyspark, MLlib and graphframes libraries, perform 1) classification and custering tasks using RandomF and Kmeans and 2) graph analysis tasks. This material is from UIUC MCS coursework.
Top-k Most Probable Triangles in Uncertain Graphs
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