There are 1 repository under graphframes topic.
PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
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 find out the feasibility of performing this task on Neo4j and Spark
DeepGraph supports a 360° view on graph technology and supports analytics, storage and visualization.
Presentation about Graphframes and how we handle graphs with more than 2 billion nodes at Hybrid Theory
Spark and Anaconda in Docker
Graph analytics for telecom customer churn prediction
Community detection Based on Girvan-Newman Algorithm
Data manipulation, optimal prediction with ALS and communities detection with Newman-Girvan algorithm
Examples on using GraphFrame functionality with Spark 2.2
Influencer detection on Twitter and real-time current trend analysis using twitter4j and Spark
Implementation of GraphFrames using PySpark in Eclipse IDE
hadoop (GFS)、mapreduce programming model、prestro、apache spark etc
Top-k Most Probable Triangles in Uncertain Graphs
DS104.N11 - Tính Toán Song Song & Phân Tán
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.
Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib
Final submission. Topic: Apache Spark's Pyspark API
EECE 5645 Project: Performing community detection on Reddit Hyperlink network dataset and leverage the power of Spark and GraphFrames
This project utilizes the Spark Framework and GraphFrames library to implement the Girvan-Newman algorithm, detecting communities in social networks by analyzing user connections based on common business reviews and optimizing modularity through iterative edge removal.
Graph coloring example using GraphFrames of Apache Spark framework
Sprouter: Dynamic Graph Processing over Data Streams at Scale
Code for part 1 and 2 of the project for the TDT4305 Big Data Architecture course. The PDFs with description of project is added to the repo.
Group project for the course BUDT737: Enterprise Cloud Computing and Big Data
Graph Analytics Demo Using Spark and GraphFrames
[assignment] spark graphframes inside docker
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Tracking project with machine learning using pyspark mllib