Neo4j.rb
graph-data-science
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Neo4j.rb | graph-data-science | |
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1 | 2 | |
1,394 | 577 | |
0.5% | 1.2% | |
6.8 | 10.0 | |
8 days ago | 7 days ago | |
Ruby | Java | |
MIT License | GNU General Public License v3.0 or later |
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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.
graph-data-science
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[D] Seeking Advice - For graph ML, Neo4j or nah?
Neo4j is OSS - https://github.com/neo4j/graph-data-science - if you want to modify any of the algorithms, you can - and there's also the pregel API which offers algo building blocks (simplifying implementation)
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GDS Write - Yield Formatting Question
Unfortunately you cannot change the writeback data. You could add a feature request to the GDS repository: https://github.com/neo4j/graph-data-science
What are some alternatives?
Hanami::Model - Ruby persistence framework with entities and repositories
neo4j-apoc-procedures - Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
Sequel - Sequel: The Database Toolkit for Ruby
mage - MAGE - Memgraph Advanced Graph Extensions :crystal_ball:
Guacamole
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
MongoModel - Ruby ORM for MongoDB (compatible with Rails 3)
cugraph - cuGraph - RAPIDS Graph Analytics Library
ROM - Data mapping and persistence toolkit for Ruby
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.
Ohm - Object-Hash Mapping for Redis
demo-news-recommendation - Exploring News Recommendation With Neo4j GDS