Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs

Last update: Jun 28, 2022

Related tags

Deep Learning Learnable_MMF

Overview

Project

Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs, https://arxiv.org/pdf/2111.01940.pdf.

Authors

Truong Son Hy and Risi Kondor

Requirement

Python 3.7.10
PyTorch 1.8.0

Recommend using Conda environment for easy installation.

General organization

data/: Datasets.
doc/: Documentation in \LaTeX.
experiments/: Experiments of wavelet networks learning graphs (e.g., graph classification).
source/: Implementation of Multiresolution Matrix Factorization (MMF) including the original (baseline), learnable and sparse; and several examples.

Please check the pdf documentation in doc/ for implementation details and usage.

Owner

GitHub Repository

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