Cleora
Cleora is a fast, deterministic graph embedding engine that computes all random walks in a single matrix multiplication, requiring no GPUs or negative sampling.
What is Cleora?
Cleora is an open-source graph embedding engine designed for efficient, scalable learning of entity embeddings from heterogeneous relational data. It solves the problem of generating high-quality graph representations quickly and deterministically without requiring GPUs or negative sampling, making it suitable for large-scale production systems.
Data scientists and machine learning engineers working on recommendation systems, knowledge graphs, fraud detection, social network analysis, or any application requiring fast and accurate graph embeddings at scale.
Developers choose Cleora for its unmatched speed and memory efficiency, deterministic outputs ensuring reproducibility, and ability to handle heterogeneous graphs natively—all while maintaining top-tier accuracy compared to competing algorithms.
Overview
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Use Cases
Best For
- Building recommendation systems for e-commerce or content platforms
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
