SG-t-SNE-Π wrapper for Python
This repository aims to provide a Python interface to
SG-t-SNE-Π, which is a high-performance
software for swift embedding of a large, sparse graph into
a d-dimensional space (d=1,2,3) on a shared-memory computer.
⚠️ Warning! This package is still a work in progress.
Installation
Prerequisites
sgtsnepi supports Linux and macOS.
Windows support is coming soon.
Installation requires Python 3.9 or higher.
Wheels are not built for all architectures as of now. If your architecture is not supported please open a relevant issue on the GitHub page.
Installing the Module
To install the package run
pip install sgtsnepi
Then in your Python code run the following to import the library:
import sgtsnepi
# [ ... ]
sgtsnepi.sgtsnepi(sparse_matrix, args)
Or to import the sgtsnepi function directly:
from sgtsnepi import sgtsnepi
# [ ... ]
sgtsnepi(sparse_matrix, args)
Running the Demo
To use the demo you should install matplotlib by running
pip install scipy matplotlib
Then from the source directory run
python tests/demo.py mm_file.mtx ndim
where mm_file.mtx is a file containing the input matrix which is in the
Matrix Market file format,
and ndim is the number of embedding dimensions.
You can find some compressed MatrixMarket files in the data/ subdirectory.
Citation
If you use this software, pleace cite the following paper:
@inproceedings{pitsianis2019sgtsnepi,
author = {Pitsianis, Nikos and Iliopoulos, Alexandros-Stavros and Floros, Dimitris and Sun, Xiaobai},
doi = {10.1109/HPEC.2019.8916505},
booktitle = {IEEE High Performance Extreme Computing Conference},
month = {11},
title = {{Spaceland Embedding of Sparse Stochastic Graphs}},
year = {2019}
}
4 maintainers
Metadata
4 maintainers
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