AnacletoLAB/grape
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
This tool helps researchers and data scientists analyze very large, complex datasets that can be represented as graphs, like social networks or biological pathways. You input your graph data in various formats, and it outputs insights like node similarities, community structures, and predictions on relationships within the graph. It's designed for users working with 'big data' graphs who need fast, scalable computations.
622 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to process, embed, and analyze extremely large graphs efficiently, even on standard hardware or HPC clusters, and derive predictions or insights from their structure.
Not ideal if you're working with small graphs or don't require high-performance computing capabilities for graph analysis.
Stars
622
Forks
39
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 24, 2024
Commits (30d)
0
Dependencies
5
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