# benedekrozemberczki/GraphWaveMachine

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

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

benedekrozemberczki/GraphWaveMachine has 188 stars on GitHub. Its RepoMasters card: Prototype tier. A scalable implementation of "Learning Structural Node…

| Field | Value |
| --- | --- |
| Owner | [benedekrozemberczki](https://repo.masters-masters.com/en/owners/benedekrozemberczki) |
| Stars | 188 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | graph-wavelet, laplacian, graph-embedding, structural-embedding, word2vec, node2vec, struc2vec, kdd, factorization, wavelet |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [benedekrozemberczki/GraphWaveMachine](https://github.com/benedekrozemberczki/GraphWaveMachine) |

## Repository

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

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

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