Neo4j.rb
mage
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Neo4j.rb | mage | |
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1 | 19 | |
1,392 | 230 | |
0.4% | 3.0% | |
6.8 | 8.5 | |
about 1 month ago | 3 days ago | |
Ruby | C++ | |
MIT License | Apache License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Neo4j.rb
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[D] Seeking Advice - For graph ML, Neo4j or nah?
The native Python client does add additional overhead when training GNN models. I have also found older reported issues regarding performance hits with neo4j's python driver. Now, these issues may not be strictly pertinent to our current use-case, but they reflect an underlying concern: Performance degradation when interaction between neo4j and native python is considered.
mage
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How to Implement Custom JSON Utility Procedures With Memgraph MAGE and Python
You can find the MAGE repository on this link.
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Link Prediction With node2vec in Physics Collaboration Network
We will import these 118521 edges, and act as if they are undirected. The Node2Vec algorithm in MAGE accepts parameters whether to treat graph from Memgraph as directed or undirected.
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Optimizing Telco Networks With Graph Coloring & Memgraph MAGE
Memgraph introduces the concept of query modules, collections of user-written Cypher procedures intended to extend Cypher by implementing complex graph algorithms. Various query modules are already implemented and ready to use in an open-source project MAGE.
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Synchronize Data Between Memgraph Graph Database and Elasticsearch
However, there is one more thing that we should really think about when syncing Memgraph and Elasticsearch and that is expandability. The challenge is to build a solution that will need the minimum amount of change when a new method is required. That is why we decided to use Memgraph’s Pythonic capabilities and create a new query module that uses Elasticsearch’s API inside Memgraph’s graph library MAGE.
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How to Identify Essential Proteins Using Betweenness Centrality
Memgraph Advanced Graph Extensions, or for short, MAGE, is an open-source graph library that contains implementations of standard and incremental graph algorithms. You can use any of the algorithms as well as implement your own.
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MAGE Got One More Wizard Called Rust
MAGE is an open-source repository that contains many Memgraph modules in various programming languages. The overall idea is to extend Memgraph with capabilities that are not part of the core engine. One of the critical design decisions early on was the compatibility with various programming languages to support different application stacks and developers with varying skill sets. Up until now, only C/C++ and Python were first-class citizens of the Memgraph ecosystem, but Rust is quickly running through the front doors!
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Production ready Graph Database
Memgraph is a graph database in C++ but heavy on Rust as well. The client -> https://github.com/memgraph/rsmgclient (still early, please report any issues). It's possible to write query modules for Memgraph in Rust -> https://github.com/memgraph/mage/tree/main/rust (the "rusty" wrapper).
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Importing Table Data Into a Graph Database With GQLAlchemy
If you want to do more with your graph data, visit the Memgraph MAGE graph library (and throw us a star ⭐) and take a look at all of the graph algorithms that have been implemented. You can also implement and submit your own algorithms and utility procedures.
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Influencers Among Computer Scientists
Finally, if you are working on your query module and would like to share it with other developers, take a look at the contributing guidelines. We would be more than happy to provide feedback and add the module to the MAGE repository.
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LabelRankT – Community Detection in Dynamic Environment
We at Memgraph recognize your challenges. In this article, you will learn about the merits of online community detection methods and get acquainted with the LabelRankT algorithm by Xie et al., now available in MAGE 1.1.
What are some alternatives?
Hanami::Model - Ruby persistence framework with entities and repositories
graph-data-science - Source code for the Neo4j Graph Data Science library of graph algorithms.
Sequel - Sequel: The Database Toolkit for Ruby
cugraph - cuGraph - RAPIDS Graph Analytics Library
Guacamole
Memgraph - Open-source graph database, built for real-time streaming data, compatible with Neo4j.
MongoModel - Ruby ORM for MongoDB (compatible with Rails 3)
TerraForge3D - Cross Platform Professional Procedural Terrain Generation & Texturing Tool
ROM - Data mapping and persistence toolkit for Ruby
demo-news-recommendation - Exploring News Recommendation With Neo4j GDS
Ohm - Object-Hash Mapping for Redis
rsmgclient - Memgraph database adapter for Rust programming language.