vermaMachineLearning / FGSD

Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).

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NIPS 2017 Paper: Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs.

Authors: Saurabh Verma and Zhi-Li Zhang

Welcome To The Family Of Graph Spectral Distances. A New Family Of Graph Feature Representations/Vectors.

Please cite our paper, if you use our code. Thanks!

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Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).

License:MIT License


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Language:Python 100.0%