graph-data-science

Source code for the Neo4j Graph Data Science library of graph algorithms.

code and resources used in the Going Meta sessions

A Python client for the Neo4j Graph Data Science (GDS) library

A curated list of resources for graph-related topics, including graph databases, analytics and science

This repository contains Data & AI concepts covered on my Threads page.

A DuckDB extension for graph data analytics

Exploring Neo4j and Graph Data Science for Fraud Detection

CNCF Landscape Graph, data model, and applications.

Neo4j Graph Data Science with Graph ML & GNNs

Demonstrate integration of Senzing and Neo4j to construct an Entity Resolved Knowledge Graph

High-performance data retrieval from Neo4j with Apache Arrow 🏹

My fork of neo4j-graph-analytics/networkx-neo4j — a NetworkX API for Neo4j Graph Data Science. Contributions from the original author are merged upstream; use the upstream repo.

A proposed standard `NOCK` for a Parquet format that supports efficient distributed serialization of multiple kinds of graph technologies

🔍 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.

Tutorials for Entity Resolved Knowledge Graphs

The repository is a curated list of various resources, including academic papers, books, courses, tools, and libraries, related to machine learning with graph data.

Explore data released by NBC News from their investigation into Russian Twitter Trolls around the 2016 US election

Leverage Neo4j Graph Data Science library to explore graph algorithms for analytics and feature engineering

A library for converting Knowledge Graph s-r-o triples into Graph Neural Network friendly format

Jupyter notebooks for learning Neo4j graph data science with Python — beginner GDS tutorial plus a Titanic knowledge-graph embedding demo.