Welcome to thgsp’s documentation!

Thgsp is a graph signal processing package based on PyTorch.

The repository now mainly includes:

• GFT-based filter(banks) processing multi-dimensional signals in a Multiple Input Multiple Output(MIMO) manner.

• GraphQmf and GraphBiorth wavelet filter bank.

• Many strategies to decompose an arbitrary graph into many(usually <10) bipartite graphs.

• Many graph signal sampling(which differs slightly with general graph sampling ) and reconstruction algorithms.

As this package is built on PyTorch and pytorch_sparse, you can easily integrate functionalities available in thgsp into a PyTorch pipeline.

Notes

• Installation
• Introduction by Example
• GraphQmf Wavelet Filterbank

Package Reference

• thgsp.graphs
• thgsp.bga
• thgsp.filters
• thgsp.alg
• thgsp.datasets
• thgsp.sampling

Indices and tables

• Index

• Module Index

• Search Page