# triandicAnt/GraphEmbeddingRecommendationSystem

<https://repo.masters-masters.com/en/repos/triandicAnt/GraphEmbeddingRecommendationSystem>

[Home](https://repo.masters-masters.com/en) › [triandicAnt](https://repo.masters-masters.com/en/owners/triandicAnt) › [GraphEmbeddingRecommendationSystem](https://repo.masters-masters.com/en/repos/triandicAnt/GraphEmbeddingRecommendationSystem)

triandicAnt/GraphEmbeddingRecommendationSystem has 190 stars on GitHub. Its RepoMasters card: Prototype tier. Python based Graph Propagation algorithm…

| Field | Value |
| --- | --- |
| Owner | [triandicAnt](https://repo.masters-masters.com/en/owners/triandicAnt) |
| Stars | 190 |
| Forks | 52 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2016 |
| Topics | deepwalk, graph, rating, graph-propagation-algorithm, python, recommendation-system, prediction, graph-embedding |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [triandicAnt/GraphEmbeddingRecommendationSystem](https://github.com/triandicAnt/GraphEmbeddingRecommendationSystem) |

## Repository

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.