graph-data-science
There are 2 repositories under graph-data-science topic.
neo4j / graph-data-science
Source code for the Neo4j Graph Data Science library of graph algorithms.
Language:Java 734- Language:Jupyter Notebook 570
A Python client for the Neo4j Graph Data Science (GDS) library
Language:Python 224AIinMinutes / Data-and-AI-Concepts
This repository contains Data & AI concepts covered on my Threads page.
Language:Jupyter Notebook 166graphgeeks-lab / awesome-graph-universe
A curated list of resources for graph-related topics, including graph databases, analytics and science
neo4j-product-examples / demo-fraud-detection-with-p2p
Exploring Neo4j and Graph Data Science for Fraud Detection
Language:Jupyter Notebook 76cncf / landscape-graph
CNCF Landscape Graph, data model, and applications.
Language:Jupyter Notebook 51Neo4j Graph Data Science with Graph ML & GNNs
Language:Jupyter Notebook 44- neo4j-arrow
neo4j-field / neo4j-arrow
High-performance data retrieval from Neo4j with Apache Arrow 🏹
Language:Java 31 hoangsonww / Graph-Data-Structure
🔍 This repository explores the graph data structure, focusing on its application in analyzing large texts and developing the Word Graph Game. It includes algorithms for text analysis, graph construction, and game logic, offering a comprehensive toolkit for educational and development purposes.
Language:Java 22DerwenAI / pynock
A proposed standard `NOCK` for a Parquet format that supports efficient distributed serialization of multiple kinds of graph technologies
Language:Python 20louisguitton / erkg-tutorials
Tutorials for Entity Resolved Knowledge Graphs
Language:Jupyter Notebook 9lipinski / awesome-machine-learning-on-graph
The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.
neo4j-graph-examples / twitter-trolls
Explore data released by NBC News from their investigation into Russian Twitter Trolls around the 2016 US election
Language:Go 7Leverage Neo4j Graph Data Science library to explore graph algorithms for analytics and feature engineering
Language:Go 4victor-iyi / sage-triples
A library for converting Knowledge Graph s-r-o triples into Graph Neural Network friendly format
Language:Rust 4JohT / open-graph-data-science-packaging
Packages OpenGDS, the open part of Neo4j's graph data science plugin
airdac / SDM-Property_Graphs
Poperty graphs modelling in neo4j and Python. Team project from UPC's Master's Degree in Data Science
Language:Python 2Andrewwango / neo4j-demos
Demonstrating and visualising graph data science and ML using neo4j and GDS with the Northwind and Cora datasets
Language:Jupyter Notebook 1arthurcerveira / Job-Recommender-System
Graph based job recommender system with Neo4J
Language:Python 1Papers, Authors and Citations dataset for graph data science
Ryan-PG / citation-network-gnn
A project using Graph Neural Networks (GNNs) to classify nodes in the Cora citation network. Implements GCN and GraphSAGE models using PyTorch Geometric to classify academic papers based on citation relationships. Includes preprocessing, model training, evaluation, and visualizations.
Language:Jupyter Notebook 1headsrooms / py2gds
Library to build Neo4j queries with special attention on Graph Data Science library calls.
Language:Python 0deevis / predictors
Loads the existing season of NFL or Premier League games into a Neo4J database and uses graph data science algorithms to assign weights and then predict the outcome of future games.
Language:Ruby
