A Spectral Embedding library made of Graph Convolution Networks and AutoEncoders
Project 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
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