demo-news-recommendation
Neo4j.rb
| demo-news-recommendation | Neo4j.rb | |
|---|---|---|
| 1 | 1 | |
| 25 | 1,394 | |
| - | 0.2% | |
| 3.1 | 6.5 | |
| about 1 year ago | 9 days ago | |
| Jupyter Notebook | Ruby | |
| - | MIT License |
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demo-news-recommendation
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[D] Seeking Advice - For graph ML, Neo4j or nah?
Rather than keep listing the virtues of Neo (there are many!), I'd recommend checking out some examples and getting a feel for how it works yourself: we have a great repo with lots of different use cases (https://github.com/neo4j-product-examples), but I'd take a look at the recommendation example (blog, code) as a good first step for embeddings on a knowledge graph.
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.
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
Hanami::Model - Ruby persistence framework with entities and repositories
cugraph - cuGraph - RAPIDS Graph Analytics Library
Sequel - Sequel: The Database Toolkit for Ruby
mage - MAGE - Memgraph Advanced Graph Extensions :crystal_ball:
Guacamole
graph-data-science - Source code for the Neo4j Graph Data Science library of graph algorithms.
MongoModel - Ruby ORM for MongoDB (compatible with Rails 3)
gqlalchemy - GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
ROM - Data mapping and persistence toolkit for Ruby
Ohm - Object-Hash Mapping for Redis
DataMapper