awesome-memgraph
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kgolubic
Curated list of awesome Memgraph resources
Awesome Memgraph 
Useful resources for learning and working with Memgraph
Memgraph is an open source graph database built for real time streaming data, compatible with Neo4j. It is an in-memory graph database that uses Cypher as a query language.
Contents
- Resources
- Documentation
- Docker images
- Tools
- Articles
- Talks
- Tutorials
- Drivers
- Applications
Resources
Documentation
Docker images
Tools
- Memgraph Lab - a visual user interface that helps you explore and manipulate the data stored in Memgraph.
- GQLAlchemy - a standalone Object Grap Mapper (OGM) for Python that allows you to write object-oriented code to communicate with graph databases.
- MAGE - an open-source library that contains graph algorithms in the form of query modules you can use right away with our graph database.
Articles
- Graph Database vs Relational Database
- How to migrate from Neo4j to Memgraph
- Temporal graph neural networks with PyTorch - How to create a simple recommendation engine on an Amazon dataset.
- How to use GQLAlchemy query builder?
- How to manage Memgraph Docker instances in Python
- Importing Table Data into a Graph Database with GQLAlchemy
- Exploring a Twitter Network with Memgraph in a Jupyter Notebook
Talks
- Memgraph 2.1 - Live Demo with Dominik, CEO & Marko, CTO.
- Graph-based stream processing with Apache Kafka
- MAGE 1.1 Live Demo - Analyzing a Twitter network with PageRank, node2vec & Community detection.
- GQLAlchemy 1.1 - Demo.
Tutorials
- First steps with Memgraph
- Graph modeling
- Implement a custom query module in Python
- Install MemgraphDB and Memgraph Lab on Windows 10
- Style your graphs in Memgraph Lab
- Migrate from RDBMS to Memgraph
- Graph stream processing with Kafka
- Social network analysis with NetworkX
- Understanding music (with query modules
- Analyzing Interactions in a Slack Communication Network
- How to build a Spotify Recommendation Engine using Kafka and Memgraph
- Visualizing and Analyzing Reddit In Real-Time with Kafka and Memgraph
- Building a BitClout Social Network Visualization App With Memgraph and D3.js
- How to Build a Flight Network Analysis Graph-Based ASP.NET Application with Memgraph, C#, and D3.js
- How to Develop a Credit Card Fraud Detection Application using Memgraph, Flask, and D3.js
- Exploring Interpersonal Relationships in the Bible
- How to Implement Custom JSON Utility Procedures With Memgraph MAGE and Python
- How to Write Custom Cypher Procedures with NetworkX and Memgraph
- Influencers among computer scientists
- Modeling, Visualizing, and Navigating a Transportation Network with Memgraph
- Optimizing Telco Networks With Graph Coloring & Memgraph MAGE
- Running Community Detection with Memgraph and Python NetworkX
Drivers
- Python - driver for connecting to Memgraph using Python.
- Rust - driver for connecting to Memgraph using Rust.
- C# - driver for connecting to Memgraph using C#.
- Java - driver for connecting to Memgraph using Java.
- Go - driver for connecting to Memgraph using Go.
- Node.js - driver for connecting to Memgraph using Node.js.
- JavaScript - driver for connecting to Memgraph using JavaScript.
- PHP - driver for connecting to Memgraph using PHP.
Applications
- Analyze Infrastructure Networks with Dynamic Betweenness Centrality
- Monitoring a Dynamic Contact Network with Online Community Detection
- LabelRankT - Community Detection in Dynamic Environment.
- Link prediction with Node2Vec in Physics Collaboration Network
- How Node2Vec works - A random walk-based node embedding method.
- Introduction to Node Embedding
- Recommendation System Using Online Node2Vec with Memgraph MAGE
- Twitch Streaming Graph Analysis
- Identifying Essential Proteins using Betweenness Centrality & Memgraph MAGE
- Optimizing Telco Networks With Graph Coloring & Memgraph MAGE
- Vislet - Visualize geographic data in Memgraph Lab.
- How to style your graphs in Memgraph Lab
- Air Traffic Routing with Memgraph
- Building a Recommendation System using Memgraph
- How to Visualize a Social Network in Python with a Graph Database: Flask + Docker + D3.js
Contributing
Contributions welcome! Read the contribution guidelines first.
kgolubic