abhilash1910 / SpectralEmbeddings

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

Date Created 2021-08-16 (3 years ago)

Commits 19 (last one 3 years ago)

Stargazers 65 (0 this week)

Watchers 3 (0 this week)

Forks 6

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RepositoryStats indexes 584,353 repositories, of these abhilash1910/SpectralEmbeddings is ranked #388,356 (34th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #9,966/15,183.

abhilash1910/SpectralEmbeddings is also tagged with popular topics, for these it's ranked: tensorflow2 (#168/247)

Other Information

abhilash1910/SpectralEmbeddings has Github issues enabled, there is 1 open issue and 1 closed issue.

There have been 2 releases, the latest one was published on 2021-08-17 (3 years ago) with the name v_02 release.

Homepage URL: https://pypi.org/project/SpectralEmbeddings/0.2

All Topics

tf gcn sdne spline spectral gcn-filter vanillagcn tensorflow2 node-embedding chebyshev-polynomials

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updated: 2024-09-29 @ 12:35pm, id: 396878123 / R_kgDOF6fhKw