# benedekrozemberczki/role2vec

<https://repo.masters-masters.com/en/repos/benedekrozemberczki/role2vec>

[Home](https://repo.masters-masters.com/en) › [benedekrozemberczki](https://repo.masters-masters.com/en/owners/benedekrozemberczki) › [role2vec](https://repo.masters-masters.com/en/repos/benedekrozemberczki/role2vec)

benedekrozemberczki/role2vec has 169 stars on GitHub. Its RepoMasters card: Prototype tier. A scalable Gensim implementation of "Learning Role-based Graph…

| Field | Value |
| --- | --- |
| Owner | [benedekrozemberczki](https://repo.masters-masters.com/en/owners/benedekrozemberczki) |
| Stars | 169 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2019 |
| Topics | gensim, struc2vec, deepwalk, node2vec, network-embedding, graph-embedding, node-embedding, pytorch, tensorflow, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [benedekrozemberczki/role2vec](https://github.com/benedekrozemberczki/role2vec) |

## Repository

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

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.