Metadata-Version: 1.1
Name: SpectralEmbeddings
Version: 0.2
Summary: A Spectral Embedding library made of Graph Convolution Networks and AutoEncoders
Home-page: https://github.com/abhilash1910/SpectralEmbeddings
Author: ABHILASH MAJUMDER
Author-email: debabhi1396@gmail.com
License: MIT
Download-URL: https://github.com/abhilash1910/SpectralEmbeddings/archive/v_02.tar.gz
Description: This is a library used for generating semantic embeddings from Graph Convolution variants such as Chebscev polynomials and AutoEncoders. The embeddings generated are based on deep geaph networks which use spectral convolution kernel made with Tensorflow. This package implements AutoEncoder based embeddings as well as GCN variants
Keywords: Semantic Embeddings,Graph Convolution Network,Chebyshev networks,Higher order Graph embeddings,Graph Autoencoder networks,SDNE embeddings,Tensorflow
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
