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GWNN-TensorFlow-2-implementation

Easy-to-use Graph Wavelet Neural Network in a single .py file

dependencies: TensorFlow 2, SciPy library, NumPy

Wavelets are computed efficiently using Chebsyhev Polynomials of the First Kind.

For further details check out the following sources:
Xu, B., Shen, H., Cao, Q., Qiu, Y., & Cheng, X. (2019). Graph wavelet neural network. arXiv preprint arXiv:1904.07785.
Hammond, D. K., Vandergheynst, P., & Gribonval, R. (2011). Wavelets on graphs via spectral graph theory. Applied and Computational Harmonic Analysis, 30(2), 129-150.

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Easy-to-use Graph Wavelet Neural Network in a single .py file

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